{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BMLry8UQqWV9"
      },
      "source": [
        "# Welcome to the Polyverse : An Introduction to Polymers and Their Representation\n",
        "\n",
        "## Table of Contents:\n",
        "1. [Introduction](#introduction)\n",
        "2. [Organic Molecule and Monomers](#orgmol)\n",
        "3. [Datasets with Organic Molecules](#polydata)\n",
        "      - [Setup](#setup)\n",
        "4. [Monomer / Molecules Representation](#monorep)\n",
        "      - [RDKit Molecule](#rdkitmol)\n",
        "      - [SMILES](#smiles)\n",
        "      - [Image](#image)\n",
        "      - [Graphs](#graphs)\n",
        "      - [Fingerprints](#fingerprints)\n",
        "5. [Polymer Representation](#sample-poly)\n",
        "      - [Degree of Polymerization](#dp)\n",
        "      - [Linear Polymer Representation](#line-pres)\n",
        "6. [Limitations](#limitations)\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tU_hk-NL5atd"
      },
      "source": [
        "## 1. Introduction <a class=\"anchor\" id=\"introduction\"></a>\n",
        "\n",
        "In the vast world of materials, polymers stand out for their remarkable versatility. These molecular worlds are built from smaller units called monomers, which link together in long chains like beads on a string.  Unlike individual monomers, which often lack complete functionality on their own, polymers possess a wide range of properties influenced by the type of monomer, the length of the chain (degree of polymerization), and the way the monomers are arranged. This intricate structure allows polymers to take on diverse forms, from the flexible plastics in our everyday lives to the strong and lightweight materials used in engineering. The ability to tailor these properties through the selection and arrangement of monomers makes polymers an invaluable resource for scientists and engineers, driving innovations in fields like medicine, electronics, and sustainable materials.\n",
        "\n",
        "As the field of machine learning continues to evolve, so too does its application in polymer science. A key area of focus is the development of robust polymer representations that effectively capture the intricate structure of these macromolecules. These representations encode crucial information beyond just the chemical identity of the monomers. This detailed information is essential for accurately predicting a polymer's properties, a capability with transformative potential for material design. By leveraging machine learning models trained on vast datasets of polymers represented in this way, researchers can accelerate the discovery of novel materials with precisely tailored functionalities for a wide range of applications. This integration of machine learning holds great promise for revolutionizing polymer science and unlocking a new era of material innovation.\n",
        "\n",
        "\n",
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1O7KOBy4I-U8JRYeoa5Dp9UOxYmVpsLl5?usp=sharing)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f3PWcT0Lsvsk"
      },
      "source": [
        "## 2. Organic Molecule and Monomers <a class=\"anchor\" id=\"orgmol\"></a>\n",
        "\n",
        "Organic molecules are the building blocks of life and form the foundation of a vast array of natural and synthetic materials. They are defined as molecules that primarily consist of carbon atoms, along with hydrogen, oxygen, and other elements like nitrogen, phosphorus, and sulfur. These carbon atoms bond with each other and other elements in various arrangements, creating a remarkable diversity of structures and functionalities. Organic molecules encompass everything from simple sugars and amino acids to complex biomolecules like DNA and proteins.\n",
        "\n",
        "Monomers, on the other hand, are a specific type of organic molecule. They act as the fundamental building blocks of polymers, much like bricks are to a wall. Just as individual bricks come together to form a complex structure, monomers link repeatedly to create long, chain-like molecules known as polymers.\n",
        "\n",
        "However, there's a key distinction between monomers and organic molecules in general. Organic molecules can exist independently and possess unique properties based on their specific structure. In contrast, monomers often lack complete functionality on their own and rely on the polymerization process to achieve their final properties. While some organic molecules might share similarities with monomers in terms of structure, the key difference lies in their intended purpose. Monomers are designed to be the starting point for creating a larger polymer, while organic molecules can function as standalone entities with their own characteristic behaviors."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i3eSlt40tl9S"
      },
      "source": [
        "## 3. Datasets with Organic Molecules <a class=\"anchor\" id=\"polydata\"></a>\n",
        "\n",
        "Many datasets exist for organic molecules, each containing various properties and classifications (parameters and labels). Notably, DeepChem's architecture allows us to directly utilize the ZINC15 database, a popular resource from the MoleculeNet suite.\n",
        "\n",
        "* [ZINC15](https://zinc15.docking.org/)\n",
        "\n",
        "  - ZINC15 contains information about millions of commercially available chemicals, including their structures, properties, and suppliers.\n",
        "  - It's a valuable resource for researchers in drug discovery, materials science, and other fields that rely on small molecules.\n",
        "  - As ZINC15 is a superset of Drug Based Organic Molecules we can find biocompatible monomers in it as well\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nRWVYA5euHtG"
      },
      "source": [
        "### Setup <a class=\"anchor\" id=\"setup\"></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uclsa9f0Y6M3"
      },
      "outputs": [],
      "source": [
        "!pip install --pre deepchem matplotlib rdkit networkx dgl"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2KfdE3LTutyy"
      },
      "source": [
        "For this tutorial we are going to need deepchem along with few of other libraries. [`matplotlib`](https://matplotlib.org/), [`rdkit`](https://www.rdkit.org/), [`networkx`](https://networkx.org/), [`dgl`](https://www.dgl.ai/)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L4iBH9GTw-cx"
      },
      "source": [
        "### Loading [ZINC15](https://zinc15.docking.org/) Dataset from deepchem MoleculeNet\n",
        "\n",
        "- Loading any dataset in `deepchem` requires a featurizer to specify what form of data will be downloaded for your specific usecases.\n",
        "- By default the ZINC15 data is downloaded with one-hot encoding featurizer. But to extract and anlyze the data as per our requirements we need to load it in raw molecular format. Hence the `RawFeaturizer` is used."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "cg6vSqx0w7Nc"
      },
      "outputs": [],
      "source": [
        "# all imports\n",
        "from deepchem.molnet.load_function.zinc15_datasets import load_zinc15\n",
        "from deepchem.feat.molecule_featurizers.raw_featurizer import RawFeaturizer\n",
        "from deepchem.feat.molecule_featurizers.smiles_to_image import SmilesToImage  # this featurizer converts smiles string to image\n",
        "from deepchem.data.datasets import Dataset\n",
        "from rdkit import Chem\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.pyplot as plt\n",
        "import networkx as nx"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "9bgD9k9YxM6-"
      },
      "outputs": [],
      "source": [
        "# raw data loading\n",
        "raw_feat = RawFeaturizer() # this mentions the loader that we need raw molecular data\n",
        "zinc15_raw_data = load_zinc15(featurizer=raw_feat)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ntjF2z_vy7yq"
      },
      "source": [
        "### Utility functions\n",
        "\n",
        "- Initially the tuple returned by the `load_zinc15` function doesn't represent only molecular data rather it holds a lot of other data including transformers and tasks. Hence we have to write an utility function that gives us a molecular data directly from the dataset\n",
        "\n",
        "- The dataset again returns an iterable for easier processing. To get an molecule we have to iterate through the dataset. Hence we write another utility function to get the first value from the training set."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "m5c5jglQy68k"
      },
      "outputs": [],
      "source": [
        "# utility functions\n",
        "def get_training_data(dataset: Dataset, verbose=1):\n",
        "  \"\"\"\n",
        "  This function returns the training set from the Dataset\n",
        "  \"\"\"\n",
        "  tasks,datasets,transformer = dataset\n",
        "  print(\"tasks>> \",tasks) if verbose else None\n",
        "  training_data, valid_data, testing_data = datasets\n",
        "  if verbose:\n",
        "    print(\"training dataset>> \",training_data) # traning set (200K) (iterable)\n",
        "    print(\"validation dataset>> \",valid_data) # validation set (25K)\n",
        "    print(\"testing dataset>> \",testing_data) # test set (25K)\n",
        "    print(\"transformer>> \",transformer) # transformer (default - normalization tranformer)\n",
        "  return training_data\n",
        "\n",
        "def data_verbose(dataset: Dataset, verbose=1):\n",
        "  \"\"\"\n",
        "  This function prints the first data while iterating through the training set\n",
        "  \"\"\"\n",
        "  training_data = get_training_data(dataset, verbose=verbose)\n",
        "  one_mol = None\n",
        "  # showing a sample data\n",
        "  for (xi,yi,wi, idi) in training_data.itersamples():\n",
        "    one_mol = xi\n",
        "    if verbose:\n",
        "      print(\"Molecule Object >>\",xi)\n",
        "      print(\"Task Target Value>>\",yi) # the target label for the dataset\n",
        "      print(\"Weight >>\",wi) # weight associated\n",
        "      print(\"ZINC ID>>\",idi) # zinc id for the molecule\n",
        "    return one_mol"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        },
        "id": "V6hjlQPQ2v4z",
        "outputId": "3f052e9f-1250-4568-c0c4-3475c430ce15"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "tasks>>  ['mwt', 'logp', 'reactive']\n",
            "training dataset>>  <DiskDataset X.shape: (200000,), y.shape: (200000, 3), w.shape: (200000, 3), task_names: ['mwt' 'logp' 'reactive']>\n",
            "validation dataset>>  <DiskDataset X.shape: (25000,), y.shape: (25000, 3), w.shape: (25000, 3), task_names: ['mwt' 'logp' 'reactive']>\n",
            "testing dataset>>  <DiskDataset X.shape: (25000,), y.shape: (25000, 3), w.shape: (25000, 3), task_names: ['mwt' 'logp' 'reactive']>\n",
            "transformer>>  [<deepchem.trans.transformers.NormalizationTransformer object at 0x7c4e97863160>]\n",
            "Molecule Object >> <rdkit.Chem.rdchem.Mol object at 0x7c4d4a6d8130>\n",
            "Task Target Value>> [ 0.27502889 -0.30028165 -0.33890553]\n",
            "Weight >> [1. 1. 1.]\n",
            "ZINC ID>> ZINC001494474484\n"
          ]
        },
        {
          "data": {
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",
            "text/plain": [
              "<rdkit.Chem.rdchem.Mol at 0x7c4d4a6d8130>"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data_verbose(zinc15_raw_data)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sTl6hUcI4yKV"
      },
      "source": [
        "In the above code the dataset is loaded from molnet and the training data is extracted from the output using `get_training_data` and shown in the notebook using `data_verbose`. But the molecule object can be represented in various ways other than this image. Let's dive into it."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W3MontMn5h1P"
      },
      "source": [
        "## 4. Monomer Molecules Representation <a class=\"anchor\" id=\"monorep\"></a>\n",
        "\n",
        "\n",
        "* Types of representation for monomer molecules\n",
        "\n",
        "The monomer molecules can be represented in various ways. Some of the common ways of representations are given below.\n",
        "  - RDKit Molecule Object\n",
        "  - SMILES String\n",
        "  - Image\n",
        "    - Pixel Representation\n",
        "    - Annotated Representation\n",
        "  - Graphs\n",
        "  - Fingerprint\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2pYUxj7k67sf"
      },
      "source": [
        "##### We are going to use above representations on ZINC15 dataset for representing organic molecules. The monomers can be represented similarly."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z5GKjDDk7P9S"
      },
      "source": [
        "#### i.  RDKit Molecule Object <a class=\"anchor\" id=\"rdkitmol\"></a>\n",
        "\n",
        "- The [RDKit](https://www.rdkit.org/) library is a very powerful python library that can handle chemical data very efficiently.\n",
        "- In the deepchem, the Molecule object from RDKit is used as a base format to load and process molecules.\n",
        "- The Molecule object is capable to storing and processing different scientific parameters.\n",
        "\n",
        "Let's find the number of atoms and bonds using the Molcule object."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        },
        "id": "haAx7xNU-gzP",
        "outputId": "bce2cf26-a1df-4fca-cf4a-a8323e569cd1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "No. of atoms in the molecule >> 23\n",
            "No. of bonds in the molecule >> 24\n"
          ]
        },
        {
          "data": {
            "image/png": 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kYjEmT8bFi7C0xPHj0NcHgCVLsH8/9PURGYlOnZSYhmHqCKFf//HHH4eEhLRt2/bYsWNdu3almORlKM8UoOHGDfLFFw2O7NpFjh8nhJDNm0lwcN3xixfJzp0KTCKTyaSzZxOAvPMOuXGj5ujKlQQgWlokJkaBbTPMqzx69EhNTU1dXZ3fuV75fvjhBwDq6urH+d9PoWqNZ6M5Odi2rcGRI0dqlp379VfMn49neyMiORlhYQpMEhgYGHD5sszMDBER4LcPCw7GypVQVcWePXB1VWDbDPMqhoaGrq6uYrE4MjKy9mBubm5mZiZR/JjKH3/84e/vz3Hczz//PHLkSEU31xStsYy+nLs7PvgASlgLPygoaMOGDVuvXr2wezccHQHgyBEsWAAAmzcr98oCw7zY8/364OBga2trfX19V1fXxYsX79u37+HDh3Jv9/Tp07Nnz5bJZBs3bvTx8ZH768sXK6ONzZoFdXUoev2tvXv3BgQEcBwXHBzsOnw4ANmFC5g2DRIJVq/GwoWKbZ5hXs+ECRNUVFSOHTtWXl7OH2nTpo25uXlpaWlcXNyWLVumTp1qYmLSuXPnadOmbdq0KTY2tqKioomNJiUleXl5VVdXBwYGLl26tMlvQvFoX1Wg4PRpoqJCzMzqPjQ1yapVhBDSqxc5eJDExRE9PXLvHvnxRzJiBKmsJMnJRCyWY4DT/MS3jRs38kcyMjIcLSxKevQg8+fLrRmGkQcXFxcA+/btq38wLy8vPDx8xYoVHh4e7RvOJFFVVbWxsfHx8QkKCkpMTJRIJG/U3M2bN/nh+OnTp8tkMrm+FUVppWXU0JAUFNR9eHg0KKOEkNmzydSpNWU0JoYARF2dODoSf38SEkLS08lbf39TU1P5m4I//vhj/si9e/fMzc0B/Nvbm7zhzxzzj2QykpVFkpNJcTHtKM3bt99+C2DQoEF37tz5p+fcunUrJCTE399/wIABjebG6+rqDhgwwN/fPyQkJD09/eVtFRQU8MPxw4cPr66ulvM7URg1JZ30CgzHof6E4ufvWf/mG1hb1yw5X1qKbt2QlYWkJCQl1TzB2BjOznUf7dq9Vru3b98eNWpUcXHx+++/v379egBPnz718PC4f//+oEGDfty1q/Eq98zbOXcO//43qqthaIgbNzB9Or7/HgK79aW5UFdX19fXj42NtbCw0NfX79Onz4ABAxwdHV1cXAwNDfnnWFpaWlpa+vr6AqisrExOTk5ISEhISIiPj79z505cXFxcXBz/zI4dOzo7Ozs7O/ft27dfv35aWlq1DZWWlo4ePTorK6tPnz6HDh3SaEZLSdCu4xScPk2MjBocmTix8dkoIWT7dsJxZMSImodFReT4cbJmDfHwIO+8Q4C6D44jXbuSgIC/v//++/j4+H/6K1r7l3bYsGH8cyoqKlxdXQHY2dnRmlPSAt2/T/T0yObNNQ/v3SO2tmTZMqqZmquTJ0/y5cze3t7Y2Lh+6eA4rlu3bj4+Pi//sS8uLj558iTf/W90N1T9k1ORSDRq1CgAXbp0yc/PV9b7kw9WRgn5hzIqlZJ+/erKaCO5uSQ8nKxYQdzciLY2AcjgwQH8D4eampqNjc28efP4XoxUKiWElJeX9+vXD4CTk1NpaSkhRCKR8PvJmJub37t3T3Hvt9X5+mvi5NTgSHg40dUlUimlQM1Vamqqvr4+gE8++YQ/kpuby18SdXNz09bWrl8TG/3Yv/Cypkwmy8zMDA0NXbRo0eDBg2svm8pkMv5M1tTU9CWXDgSrNZZRsZg8fdrgSHk5qaoihJCnT4lIVHe8spKUlr7WC16+TH79NXz27Nm2traN1p5p167dyJEjraysAFhaWhYUFPBftXDhQgAdOnS4evWq3N4bQwj597/JBx80OJKfTwDC/la9iVu3bpmYmAB4//33pS/6CySRSNLT0/lLoo6Ojo1+7PX09AYMGBAYGBgeHv7w4cOXt8UPx+vp6SUnJyvm3ShWayyjilZSUnL69Ol169ZNmDCh43Mbz1lbW+fm5n7xxRcAtLS0YmNjaedtcby9ydKlDY6UlBCAsD9Xr+0thnpKS0tjYmKCgoJ8fHwsLCwa/dibmpp6eHisX78+JiamoqKi/hfygwQaGhonTpxQzLtROLbCk8Ll5eUlJSUlJSXFx8efOnVKIpE4OTklJiaqqqru37/fi9+9hJGjTz/FtWs4eLDuSEoKHB1RXg5NTXqxmo3S0tKhQ4cmJSU5OTmdOXOmdhe5N3L//n1+iCk+Pj4pKamsdm8xQF1d3d7evm/fvsbGxikpKYcPH+Y4bu/evVOmTJHfm1Au2nW8dfnwww8BcBzHcdwvv/xCO04Ldfo0adOG1L/ENncuGTqUWp5mpXaox8rKSl5DPfW7/wMGDHh+CH5ZMx8AZGejSlVcXGxsbCwWiz/77LO1a9fSjtNyLVyIAwfw4YcwNsbx44iJwZkzsLGhHUvoCCGzZs3avXu3kZFRXFzcu+++q4hWysvLk5OT4+Pjf/zxx8rKyjFjxuzatUsRDSkNK6PKNmbMmGPHju3cuXPOnDm0s7RoJ04gKgrl5ejWDTNnwtAQ16/D0BDPpjoyzwsICNi0aZOent7Zs2d79epFO07zQflsuPXht4TlN7BllGfJEgKQTZto5xCub775Bs18qIcWtjSJsnl5eampqZ06daqoqIh2lhZNKkVgIBwdUV0NAC4uAN0NCwXt999/X758uYqKSmho6IgRI2jHaWZYGVU2Q0PDgQMHisXiiIgI2llaNFVVHD+O5GRERwPA2LHQ0sLFi8jLo51McOqvSjd16lTacZofVkYpEMLeDK1C/b1edXUxciRkMhw6RDeU0CQmJo4fP14kEv33v/9dsmQJ7TjNEhtioiA/P79jx44aGhoFBQVt27alHaflunoVtrbo0AH5+VBTQ2gofH0xbFjN+SkD3Lp1a8CAAQ8fPpwxY8bu3bs5jqOdqFliZ6MUmJiY9OvXr6qq6tixY7SztGg2NujeHY8f49w5ABg3DhoaOHcOjx7RTiYIjx49GjNmzMOHD8eOHbtr1y5WQ98aK6N0sH69kvB7sfD/zwYGGDYMUinCw+mGeonKykpF7MnxvNLS0lGjRt24caNPnz5hYWFqaq10zUy5YGWUjokTJ3IcFxERUVlZSTtLi8ZfHj1wAFJp3UOh/vVat26dgYGBiYmJubm5r6/v5s2bY2NjRSKR3BsSiUSTJ0++fPlyly5djh49+na3ezK12LVRapycnJKSkg4fPuzp6Uk7S4vWpQtu3UJMDFxdUVgIU1NwHB4+fN2ltpUlMTHRxcVF8txmijo6Or179+bXOXZ2du7UqVMTGyKEzJw5MzQ01MzMLC4urnPnzk18QYZNv6fmq6++AuDr60s7SEv30UcEIEuW1DwcOpQAJDSUaqbGajcg6tevX0lJSVpa2vbt2318fGxsbBotQGdgYODm5rZixYrw8PBHjx69RVv8cLyent7ly5fl/kZaJ1ZGqcnKyuJ/K5rRnjPN0sWLBCDm5jX7Z/3wAwGIlxftWHVqV6Vzc3N7/ofh6dOnMTEx69ev9/DwaLT+PABTU9MpU6YEBQXFxMRUVla+sq1169YB0NDQOHnypGLeTWvEOvU09ejRIz09/dixY/yaOoxCEIJOnZCTg/h4ODsjPx8dO0JDAwUFEMBss9LS0iFDhiQnJ/fp0+f06dOvvExZu+5iXFzchQsX6u9mrK6u/u6777q6uvJ7JdnY2DQafP/tt998fHya/ap0AkS7jrdqK1asAODn50c7SEu3aBEByLOdMBJmzZrRvfuff/5JNxQhRCQSjRw5EkCXLl1euUT888Ri8WuuP5+dnf3ll1+qqqoC2Fy7SxUjJ6yM0pSWlgbA0NBQLBbTztKinT1b2bXryUmT+EcbN24EMG3aNLqhZDKZj48P5LcB0dOnT6Ojo7/88svx48ebmpq+8LTJ39+/6Q0xjbAySlm3bt0AnDlzhnaQV5PJZD/++KOurq6VldVbnDpRJJVK+W2FUlJSCCF37tzhOE5XV7fRbhZKpugNiGq3nxszZgzfu3dwcHjhrkpME7EyStny5csBfPjhh7SDvEJGRga/sylv7NixtBO9mXnz5gH44osv+IeOjo4ADh06RCuPkjcgqq6uZrvPKg4ro5RdunQJgImJiWBPE8Ri8fr169u0acN3PwMCAtTU1FRUVJrXZnzHjx8HYGNjwz/kZ5v5+PhQCbNnzx6O41RUVIRwfZZpOlZG6eO3Ubxw4QLtIC9w+fLl3r17A+A4zsfH5/Hjx4SQ//73vwCsra1fZ4aNQIhEovbt2wPgt7OmONvs1KlT/GZEQUFBSm6aURBWRunjr5EFBATQDtJARUVFYGAgP7ZraWl56tSp2k9VVVXZ2NgAWLFiBb2Ab2zWrFkA1q5dyz+0s7MDEBUVpcwMCQkJ/JSmzz77TJntMgrFyih9sbGxADp37izj54cLQExMDD/2paam5u/vX1ZW1ugJFy5cUFFRUVNTU9DwiCIcOXIEQK9evfiH/GyzuXPnKi3AjRs3+FuVZsyYIZzvNdN0rIzSJ5VKzczMACQlJdHOQoqLy+bNm8cP7Nrb21+6dOmfnrlw4UIAffr0kUgkykz41qqqqvT09ADcvHmTEHLlyhVlzjbLy8vj7153d3dn89taGLbCE30qKipeXl4QwLp5kZFwcGhz/vwlNTW1wMDAS5cuOTk5/dOTv/76awsLi0uXLgUFBSkz5Ftr06aNu7s7gIMHDwKws7OztrYuLCyMiYlRdNMlJSXu7u537951dnZmq9K1QLTrOEMIIdHR0QC6du1KK0BBAfH2JgAByJQpKfw4zCtFRkYC0NbWvnHjhqITysX+/fsB9OvXj3/Ij5UtXLhQoY1WV1fzm8S9++67zWu+LfOaWBkVBIlE0q5dOwBHjx5Vfut//kmMjAhAtLXJ+vXkjfro/H04Q4YMaRYX+8rLy3V0dDiO+/77721sbPg+voGBQU5OjoJalEql/N3rZmZmd+/eVVArDF2sjAoFv8ZPhw4d/P399+zZk5WVpYRG8/LIhAk1J6GDBpG3aLOwsJAfNtmxY4cCAsrfxIkTAejo6PCTEGqZmpp6eHjwC9A9efJEXs0tXrwYgJ6eHn8DFdMisTIqFJGRkZqamvV/sesvLSH3zqBMRrZvJ3p6BCAGBmT7dvLWZ5N79+7l0yrunE6OfvrpJ/6/d8iQIV988cXnn38+cuRIAwOD+v/zqqqqPXr0mDNnzo4dO1JTU996RGjt2rUANDU1z507J993wQgKWyhPQHJzc69fv57wTF7DHdUtLS359c9dXDzs7btoab19Q7dvw88Pp08DgIcHfvoJ5uZNSj5x4sSDBw+6u7sfPXq0SS+kYCUlJYMGDUpNTe3Tp8+ZM2d0dHRqP5WXlxcXFxcbG8svQ1dVVVX7KR0dHQcHB8dnbG1tX6etPXv2+Pr6chwXFhY2efJk+b8ZRjBYGRWu2pUl+cUli4qK+OODBqVeuGDftSscHeHoCFdX9OoFlRfNuXBwgJkZIiLALzu5aRMyMtCrFz75BJWVMDHBDz/U7E7URA8ePLC1tS0qKvrjjz+8vb3l8IoKIBKJPDw8Tp482aVLl7i4uOeXQK4lkUgyMzNrq+q1a9fq/5qYmJg4OTnxJbV///4dOnR4/hUiIiK8vLwkEsmWLVsWLVqkkPfDCAfls2Hm9UgkkitXruzcuXPevHkeHk/U1GouaPIfenpk+HDy6afk0CGSl1f3VZ07E11dsnt3zcO1a8m0aWTrVn44nrzVDhT/KDg4GIChoaEwB6NrV6UzMzN701XpXr7+vKWlpY+PD7/+fFVVFSHk0KFD/Hlu87rLi3lrrIw2S2Vl5Px58u23ZMoU0qlTg5IKkH/9i0yaRDIzSefOZNUqYmxMHj8m5FkZlUpJXJz8I8lkMn5az4wZM+T/6k0mxw2Ibt68+fvvvy9evNjFxaXR5WxNTU09PT3+5oU5c+bIJTkjfKxT3xIUFyMxEfaWeeYAAAeESURBVLGxSErC33+jsBAA7t3DoEEICcH336NdO+zYgS+/xJUr2LtXUTHu3r3bo0ePsrIyoW13um7duk8//VRDQyMiIsLNzU2Or8x3//mrLrGxsdevX5fJZABMTEzu3r3LL4vFtHisjLY0hCAzE5cv4733YGGBkBB07gw7Oxw/jtOnFVtGAWzatCkgIMDMzCwjI6PR8DctytyA6OHDhyEhIYaGht7e3tra2gptixEQ2qfDjAJ17kz4mTZff02cnMiaNUTRG2dIpdL+/fsDWLBggWJbej1RUdWWltYAfvzxR9pZmBaL3VPfKixdiooK/PGHwhtSUVH5+eef27Rps23btvPnzyu8vZeKj8fkyRolJefWrdu2YMECumGYFoyV0VZBXR3btuHaNWW0ZW1tvXz5cplM5ufnV1lZqYwmX+TmTXh6orwcY8YYBwbOpxWDaQ1YGW3JBgxAu3Y1/x44EIGB6NFDGe1++umndnZ2WVlZq1atUkZ7z8nLw4gRKCiAhwd++QUNd2tnGDljQ0ytS3Y21q7F5s1Q9PhHQkJC//79OY67ePHiS1bbU4SSEgwejJQU9O2L6GjUu1OJYRSCnY22LtOnY+dOrFih8IacnZ0XL14skUjmzJkjFosV3t4zIhEmTUJKCmxsEBnJaiijDOxstHVJSYGzM6RSxMbCxUWxbVVUVPTs2fPmzZtr16797LPPFNsYAEAmg7c39u2DmRkuXECnTkpok2GgunLlStoZGOUxMUFZGWJjkZCAOXPQcK04OVNXV7ezswsNDY2NjRWLxRoaGkZGRurq6oprcckS7NoFfX2cOoVu3RTXDsM0wDr1rc7q1ejeHVeuYP16xTZUVVV1/vx5juNMTU3XrFnj6uqqp6dna2vr6+u7efPmpKQk/oYfeVmzBlu2QFMTR46gZ085vjDDvALr1LdG585h6FCoqyM5Ga+36tsbO3/+vJ+fX1ZWlqqqqpeXl6GhYXx8fHp6ukQiqX2Onp5enz59+NX/nJ2dTU1N37q58nI4OuLmTezfDy8vebwBhnltrIy2Uv/5D7ZtQ9++iIuTc9e+oqJi9erVGzZskMlkdnZ2O3fu7Nu3b+2nkpKS+NVU4+Pjs7Oz63+hh8c1TU3rvn3h7AxHx38cHSIEH3yAESNQu4ZnaCh0dDBwIGJiMHGiPN8Lw7wOVkZbqZIS2NkhJwfffYclS+T2slFRUR988MG9e/fU1dWXLVu2atWqlyzPUVxcnJiYyK/pefHixbZt8+7e1eA/paqKbt1qFlR1dISzMzRqPgNCoKICfX1cuwb+/NXPDx06KPwaBcP8E1ZGW6/ISLi7Q1sbaWmwsmrqqxUVFS1fvnzHjh0AevXq9fPPP/fq1ev1v5wQcv06Ll3iEhIQH4/UVNSfJaWri9694eyMfv0wZgx0dDBpEtTUapZZYWWUoYzi/fwMde+/TwAydOjbb8TE+/PPP/n1jLW0tNavXy95o81FX0QkIunpZPt24uNDbGwIx9Uspcpx5MkTApDUVGJkRPh9VOfOJYGBTWyQYd6eGu0yztAUFIQTJ1BUVPzbbzEzZox7i1fIz89fuHDhgQMHAAwcOHDnzp38FqdNpK4OW1vY2mLePAB4/Bj8WWpeHvjl9wwM8NVXWLwYw4Y1vTWGaRLWqW/tDhxImzy5l4GBfkZGxhuNlRNCQkNDly5d+uTJE319/W+++cbPz49T/O3r/LXR7GyYm8PVFaNHIyeHdeoZmti80dZu4kR7T89xRUVF8+e/wTJId+7cGTly5MyZM588eeLu7p6enj5v3jwl1ND6VFSwdSs2bkRurjKbZZjGWBllsHXrVgMDgyNHjuzfv/+VT5bJZDt27LC3tz916pSxsXFISMjRo0fNm7hB89tycMCsWTh2jErjDFODlVEGZmZm69atA7BgwYJCfiOnf5Cenu7i4jJ//vyysrIpU6ZkZGT4+voqK+aLrVmDJkzbZxg5YNdGGQAghIwYMSI6OnrWrFm7du16/glisXjTpk0rVqyorq42MzPbunXr+PHjlZ8TgFSK+/fxf/9Xt4pocTGkUrxou3iGUQZWRpkad+7c6dGjR3l5eVRU1OjRo+t/6u+//547d25GRgbHcX5+ft9++23btm1p5czNhbk5iopQu2Pe8uXIzUVoKK1ETGvHOvVMDQsLi//9738A5s+fX1payh+srKxcvny5q6trRkaGlZVVdHT09u3bKdZQhhEgVkaZOgEBAU5OTvfu3eOXBz1//ryDg8PXX3/NcZy/v39aWtrQoUNpZ2QYwWGdeqaBtLQ0JycnqVTapUuXGzduEELs7e1//vlnJW8E8hJ8p371amhq1hyJikLHjqxTz1DDzkaZBuzt7T/66COZTMavcbdu3bqkpCTh1NBaT5+iuLjmo6qKdhqmdWNno0xjJSUlCxYsSE1N3bBhQ6OxJiFgQ0yM0LB76pnG9PT09uzZQzsFwzQbrFPPMAzTJOxslGlm9PSwYkXd+BIANzc8m6DFMBSwa6MMwzBNwjr1DMMwTcLKKMMwTJOwMsowDNMkrIwyDMM0CSujDMMwTcLKKMMwTJP8P0KoX8sP0cYTAAABu3pUWHRyZGtpdFBLTCByZGtpdCAyMDIzLjA5LjUAAHice79v7T0GIOBnQABxIJYA4gZGNoYEIM3IzM6gAKSZIVxmRjYHDRDNwuaQAaKZoeqYmDgYwBJMMD6chivEZECVsDOABZgYEXohlrBDLGOGmY2kEOoKdMugNDcDKwMrDwOPEIOQsIKwoAaTsCiDKCMDIx8DHxMDEy8DL78CP5sGEz8HA4cYg5gIgwgzAzNXBhMXSwILdwYTt0CCAGcGyF3sjAyczAkiTEBDWRjZmfjYuFi4BTiZxeUYgUEDD7OKb0IHdaNiHUCc1QGRBxZbP9wPYmsKrNz/5wXPARBb9vchB/c//nYgtigHp+OWWQ32IPaZPu6DJpxMYL1xvAb290/csgGxvwqqHtik7gjWm9mm7mBgdRts5jHtLQ5VCy+A9fq9/eiwwPbBXrCaBYyOwfOkweaka784wMp/B6zm8xFRu3WvFMDmnDrGcSCvphBsDrfLZPtzZpvB7IV+VxxYFuiD9TK7dx2w5+gB6xWIuXkgYMtUsJvvZa46sH3y0j0gtuONRQ5cdplgvR2zZh9wsNgJZsufSXdwNZcEs8UAQjNoznSBl6sAAAJBelRYdE1PTCByZGtpdCAyMDIzLjA5LjUAAHicfVTLbttADLz7K/gDWnBI7oPH2A6KoIgNtG7/off+P0oqcLUBFpF0kFajWZIzoxPl8eP6/c9f+n/I9XQi4i8ud6ffysynd8obOr9+e7vR5fFyfq5c7r9uj58kSmLxTZyfsS+P+/tzBXShzQtGRVfSYnU0ceLC+3F8KnSjTYt6rea0ofTqTWWB1KREUeHBjTYpwujCC6QFshV2RdV4LawAFrgauFFqM4saEa+tywrXcudRuoi2aL4E38CqxE73WG2jd7Z8La1zX+BGEkqp3SU2jPYZg20skB5IKQ09sPt0IB26ACL0oVqaslo2E9N2WTEipenRNQsGbVzAbr6klH0+YLS9bct5Lil3aXqRWsUHZZUeKq2QFnLHltak+j4CmIqtkPVjRtDoV7NON1WuK2jqg4LKwZZDMmZgZQz02L7FkKxGnVK6GWwlZEzmTpuF2YDm6Q0P0iXS08CthJQ2smVxUV+5SFKhrQZnNdk7YgkNVqSCXUweY/iukYeBeaWRpEZRaKSrhQzZvHVeJy1V0jAGhlqSxgwqr8b0ert+CvNHvM/32/WId57tCHE8hA2OqCJNAT8SiZyUTNGTHAjGkTHkgsiRJWR3cmQGuU89koE0iU4BQG5sk9GRhkObDC3plj4ZF7ngkz8RzKKTDbH/8TC5DSmQTaaybBCTefKR6uQRi44hkxUsq0GfFLdkwqxs9jMm+RBDODj2TfmoI1WbNcrn5+877k//AA//IJ/JmgN4AAABHHpUWHRTTUlMRVMgcmRraXQgMjAyMy4wOS41AAB4nC2QuW0EMQxFW3G4C8wQ/DxFGI6Ur4uY3BVs8SbHzsRH6R/ae7/24+v7uV/Y+/F/3vuS67p+LnlufLwfZxGWIw8l8xV6fJ6LUkTjEGLFQpMkcdcDlCgZEJQlVgeTlGgNclJxk+NkYmGBNLNmaG0Ql93zCgkcJ8gsecyUtNx9UHrd/kLe6q2kxFjsjdBC3FF6J4xsbSZYiNcgh2kjEJz9T50ZmEuxMtmOyRTJ2UwokL5uQ8gQpRAsneReq+2ceK2auQBMzOgCCp++/ScjneTBctdFl6u+tBp1rWnLNhlXrxDzkdaPbWRCbeY0g41RKKv1i5Cqv+7QxJ2lTLXLP9+/gbVcakWSaDkAAAAASUVORK5CYII=",
            "text/plain": [
              "<rdkit.Chem.rdchem.Mol at 0x7c4d4a6d8130>"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# loading as a RDKit Molecule Object\n",
        "first_molecule = data_verbose(zinc15_raw_data, verbose=0)\n",
        "print(\"No. of atoms in the molecule >>\",first_molecule.GetNumAtoms())\n",
        "print(\"No. of bonds in the molecule >>\",first_molecule.GetNumBonds())\n",
        "first_molecule"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H-Dmk_wf-58u"
      },
      "source": [
        "There are 22 number of atoms and 23 bonds in the molcule. We can count and compare using the picture as well."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yQzJZL7vAH8C"
      },
      "source": [
        "#### ii.  SMILES String <a class=\"anchor\" id=\"smiles\"></a>\n",
        "\n",
        "- SMILES stands for \"Simplified Molecular-Input Line-Entry System\".\n",
        "- SMILES Strings are the most generic way of representing organic molecules.\n",
        "- It uses a simple text-based arrangement to represent the complex organic molecules.\n",
        "- Because of it's a textual representation it can be represented in publications easily and be used in various sequence based neural networks as well.\n",
        "\n",
        "There are at least two ways we can load the SMILES string in this context\n",
        "- We can load it from the MoleculeNet using featurizer\n",
        "- We can use the RDKit Molecule object to get SMILES string"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "VD8UukeEACyh",
        "outputId": "4cc4ce7a-a5f1-4357-d1eb-6deb986959cc"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'SMILES >> CCOC(=O)C1=C(CN(C)C2CC2)NC(=O)N[C@H]1C'"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# loading ZINC15 data as SMILES String\n",
        "smiles_feat = RawFeaturizer(smiles=True)  # featurizer to get smiles\n",
        "zinc15_smiles_data = load_zinc15(featurizer=smiles_feat)  # loading the zinc15 dataset\n",
        "\"SMILES >> \" + data_verbose(zinc15_smiles_data, verbose=0)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZgKruSuLEG1P"
      },
      "source": [
        "In the above code example we downloaded the SMILES data of ZINC15 dataset directly from the MoleculeNet."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VyFQ4zAaEer0",
        "outputId": "1e6c4712-f248-413d-bcac-83cfa5f5607c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "First Molecule >> <rdkit.Chem.rdchem.Mol object at 0x7c4d4a6d8130>\n",
            "SMILES of the Molecule>> CCCNC(=O)CN1CC(NC(=O)CCCc2cccnc2)C1\n"
          ]
        }
      ],
      "source": [
        "first_molecule = data_verbose(zinc15_raw_data, verbose=0)  # getting the first molecule in training set\n",
        "print(\"First Molecule >>\",first_molecule)\n",
        "first_smiles = Chem.MolToSmiles(first_molecule)  # converting the molecule object to smiles\n",
        "print(\"SMILES of the Molecule>>\", first_smiles)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_rEVTb5yGHj_"
      },
      "source": [
        "In above code example we got the first molecule in the training set using `data_verbose` and converted it into SMILES using `RDKit`"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9cnJBJhhuKnD"
      },
      "source": [
        "#### iii.  Images  <a class=\"anchor\" id=\"image\"></a>\n",
        "\n",
        "- Molecules can also be represented with images. The images of the monomer can also be of two types.\n",
        "  - One is pixel based, where the structure of the atoms are given of importance.\n",
        "  - Another is annotation based, where the type of bonds and the elements are given importance to."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hYqa8H18u284"
      },
      "source": [
        "##### Pixel Based Image Representation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "TrhIOUJMu-9o"
      },
      "outputs": [],
      "source": [
        "# utility function\n",
        "def image_verbose(dataset: Dataset, verbose=1):\n",
        "  \"\"\"\n",
        "  This function gets the first element in the dataset and plots the image and returns it as well\n",
        "  \"\"\"\n",
        "  training_data = get_training_data(dataset, verbose=verbose)\n",
        "  smiles2img_feat = SmilesToImage(img_size=80)    # smiles to image featurizer to get images of 80x80x1 dimension\n",
        "  img=None\n",
        "  # showing a sample image from molecular data\n",
        "  for (xi,yi,wi, idi) in training_data.itersamples():\n",
        "    if verbose:\n",
        "      print(\"x0 >>\",xi)\n",
        "      print(\"y0 >>\",yi)\n",
        "      print(\"w0 >>\",wi)\n",
        "      print(\"id0 >>\",idi)\n",
        "    img = smiles2img_feat._featurize(xi) # getting the image array from smiles\n",
        "    # print(\"image array>>\",img)\n",
        "    plt.figure(figsize=(8,8))\n",
        "    plt.imshow(img, cmap=\"gray\")   # showing the image array using matplotlib\n",
        "    plt.axis('off')\n",
        "    plt.show()\n",
        "    return img"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B6Xwwua82F3K"
      },
      "source": [
        "The above function `image_verbose` uses `SmilesToImage` class to convert the SMILES values to images.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 653
        },
        "id": "CGKre9u80835",
        "outputId": "2ee5352c-d32e-42da-b75e-b711d7e57d1e"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# formatting as Image [ Faster to visualize the image ]\n",
        "img_array = image_verbose(zinc15_raw_data, verbose=0)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xFjT1XC8221G"
      },
      "source": [
        "In the above image we can see the atoms represented as white dots while the bonds are represented with gray. This representation is very useful typically in case of training vision models to understand the visual features of molecules."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o2X4uSQj2nQV"
      },
      "source": [
        "This method is preferable to visualize a specific molecule.\n",
        "\n",
        "But for bulk use cases we can also download the ZINC15 data as image. The code using the image featurizer is given below."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "o0vzQ2au3S-i"
      },
      "outputs": [],
      "source": [
        "# loading as Image [ Comparatively slower due to downloading image data ]\n",
        "image_feat = SmilesToImage(img_size=80, img_spec='std') # the same smiles to image featurizer can also be used with molnet loader function to load the image data\n",
        "zinc15_raw_data = load_zinc15(featurizer=image_feat)\n",
        "data_verbose(zinc15_raw_data)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CIVe4TVR3sS8"
      },
      "source": [
        "##### Annotatation Based Image Representation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tI_n1_KL36ou"
      },
      "source": [
        "Although the pixel based representation is good for training vision models to understand the patterns in a molecular structure, the overall understanding of the moleclue can't be visualized with it. Hence we can use annotation based image representation to understand and visualize molecule in a better way."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "5APPJqmX46E0"
      },
      "outputs": [],
      "source": [
        "# utility function\n",
        "def rdkit_image_verbose(dataset: Dataset, verbose=1):\n",
        "  \"\"\"\n",
        "  This function shows the molecules as image with annotations for atoms and bonds\n",
        "  \"\"\"\n",
        "  training_data = get_training_data(dataset, verbose=verbose)\n",
        "  img = None\n",
        "  for (xi,yi,wi, idi) in training_data.itersamples():\n",
        "    if verbose:\n",
        "      print(\"y0 >>\",yi)\n",
        "      print(\"w0 >>\",wi)\n",
        "      print(\"id0 >>\",idi)\n",
        "    img = Chem.Draw.MolToImage(xi)   # getting the image array from molecule\n",
        "    plt.figure(figsize=(8,8))\n",
        "    plt.imshow(img, cmap=\"gray\")\n",
        "    plt.axis('off')\n",
        "    plt.show()\n",
        "    return img"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CPQD8iss5n45"
      },
      "source": [
        "The function `rdkit_image_verbose` gets the image array (with colored annotations) for a specific molecule and plots it for visualization. Let's run the function now."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 653
        },
        "id": "ZEv2C2iu5-j0",
        "outputId": "7abec1c3-5049-46c1-c7b1-a8cdf78dc0ce"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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h05+GS5fUKRuxmHrdxATcf7+q8i0vq+vS0u41l4O5ObX8m0qpJo+trd0lY/2qaS0OH14lEomTz/+YSuVVenp6CIVC9PX10dXVRU9PD93d3QQCAWN//90a9uAABj6TyYSmadjtdgKBAH6/n7W1Ner1OqlUikQiIfP4hBBCiNvk5hl6hYKqsNntu3vovF5V2dP30pnN6lzdvj41j8/jUUuzTqeq2AUCKtBZrSroaZq6Wq27Xb36km+9vlsJrNXUrwsFgBabmwVqtSSp1CrF4jylUolUKkWlUqFQKFAsFikUCgSDQbLZLJqm3VLxs1gst/zebDZjNpvbNhQeuMCnc7lcnD59Gr/fz8LCApVKhcuXL5PP5zl58qR06wohhBC3UbMJL74Ir72mKnVDQ6o79+Mfh7GxW8eo9PaqYNfZqZZix8ZU8HM6VVgMBNQYl0YD7rvv1iXdclkt666vq3CnV/6WllQIXF6GXK6FzbZIuXyNnZ1ZEollNjY2jFBntVqNXzudTtxuN6FQiJ6eHoLBIL29vQSDQfr7+/H5fPT39+NwOPD5fBL49htN0+jo6CCdTqNpGuVy2ejWrVartF7/kaRd/+GEEEKIO6VYVCFsdRVmZ1VFT98W19ur9ubd/HSrVwC7utSevZ4eVcGzWHY7a+32N/89rdZuNc/nU5U/u10FPU1TzR8Wi7pqmhmTyUIu56bRCFCv12k2m5TLZQqFAo1Gg0ajgaZp2Gw2wuEwuVyOcDhMqVQiFApRq9UIBAI0Gg3cbjeRSAS73Y7f72+7XoADG/jcbjenT5/G5/Pxgx/8gEQiweTkJOl0mkwmQ71ex2KxSOATQggh3ge9sjc1Bb/4BZw/D888o6p7v/d78OUv745XuZnJpPbuffWrKvx5PO9urp7ZrB7f3b07r09v5tCv9bqZWu0+Go0JlpaOEI9vsLGxQTKZZHNzk3g8zvb2Njs7O8bSrj7GTQ+A+vYw/RoMBjl69ChjY2P8yZ/8CT6f74P5hO6RAxv4LBYLwWCQYDCIzWbDbDaTy+VIp9OUSiWq1Sp2u73tEroQQghxJ7Raapm1WoW1NXVCxsqKaqLQq3AA4bAKadXq7gkZeq3F6VQv75b+diaTqiLCbqfurfdmoloNUK97cLsbJJNhAoEAOzs7uN1uPB4PDocDq9VqZINGo0Gz2aTRaJDP541f69dgMAiofFEqlXA6nWia1jaFowMb+KxWK52dnRSLRfr6+iiVSiQSCTKZDLOzs7jdbsbGxvD7/Xt9q0IIIcSB02jA5ctqz9yPfwwvvbS7pPrAA/DQQ3DqlHrs9rYKgtEoDAzcmfvT9+n19/fT1dXFyMgItVqNSqViXKvVKoVCgWw2SzKZZGtri1QqxcbGBplMhrW1NdLpNAsLC+RyOS5fvkyj0eDy5cv09vYyOjqK/a3Wng+gAxv4zGYzDocDp9OJz+fD6/USj8ep1WpGt+7g4OBe36YQQghxoOjn3larsLkJCwsq9K2tqf10brfak3fokNpnVyhAIqH292maatTQhyF/UMWxm0/Ucr1VCfAmhUKBfD7Pzs4OKysrJBIJPB4PyWQSs9mM1WplbW2NWq1GJpMhmUwaj2k2mx/MB7AHDmzg0zmdTk6ePInH42F7e5tKpcLVq1epVquMjY1Jt64QQgjxHjQaavl2awv+/u/Vnr2NDbVs+9GPwj33qOrevfeqqt/f/q0KhdPTqvL3uc+pkSwTE/vjyDOHw4GmabhcLjo7O6lWq5TLZWq1GqVSiddee42/+qu/Ymtri+npaUqlEnNzcwAcP358j+/+9jnwgU/TNKLRKLlcDqvVSrFYJB6P4/V6pVtXCCGEeJf0Dtl6XS3RrqyojtwbN1TFzm6H/n44cUI1Uni9qrJ36dJu4ItE1Nvup91UFosFi8WC3W7H6/XSarWMbABQq9Xo6emhVqthNpup1+skk0nC4TCNRmMP7/z2OvCBz+FwcPz4cTweD//4j/9IPB7n2rVrpNNp0uk0zWZTGjeEEEKI36DRUCEvHocf/EDt35udVVW6++6D0VH43d+Fs2fV+bdPP61eLlxQIdHtho4ONYYlEtnrj+bt6YOZdU6nk4ceeojJyUkuXrxIPp/n4sWLVKtVqtXqHt7p7XXgA5+maXR2dlIqlbDZbLRaLRKJBGazmVKpRKPRuGWtXwghhBC7Wq3dfXuJhBp4PDkJFy+q11ksqrJ3/LgattzVBc89p/58dlYt/brdquLn80EwqH6/3552m82mMacvk8lgMpmwWCyYzWYGBweNPX3VapXNzU0ikYgx268dckRbBL6uri7q9Trd3d2kUilyuRyZTIalpSW6urro6+vD6/Xu9a0KIYQQ+06zqap6yaSq7F27ps6zbTbh6FE1D+/Tn1aVvbU1ePRReOwxNYsvm1UDle+/Hz7xCRUKe3rUHL39Znl5matXr3Ljxg2eeeYZurq6OHnyJF1dXdxzzz2k02m8Xi+5XI6NjQ2CwaBxekcoFELTDnZkOth3j1qb9/l8+P1+/H4/Xq+XbDZLpVIhmUyys7NDNBrd69sUQggh9hV9H1ujocat7OyYuHgRXn0VSiX1mO5u1Y07Pq6OR7txQy31Tk2pfXs2m9rbNzgIDz6oHu/z7b/qHkA6nWZmZobz58/zs5/9zBi5op/cFQ6HcTqdxhiXTCZDJpMhGAwSCAT2+vbftwMf+HQ2m41Dhw7RarVIpVIUi0UmJyeNyl84HN7rWxRCCCH2jWYTcrkmqRR8//tmpqfVEm2lopZuw2H4/OdVV261qvbrPf64Ws7d3FSh7swZtb/v/vvV3r3fMCFlT3m9XmKxmNGBm0wmuXjxojHWxe/3c+TIEdbW1picnKRYLHL16lVKpRKRSATbfixbvgdtE/g0TaOnp4d8Po/dbieXy7G6uoqmacZEbd1brcMf9LV5IYQQ4t3QK3vNZotCoUEi0eKFFzRee81EKmWi2TTR2amqdidPqlD39NOqujc5Ca+9pka0WCwwPKxGtIyPq6HL+/mp1Ol0EolEjC1ehUKBpaUlxsbGANUE2tvbS61Ww2KxUK1WWVtbw+FwUNOPFTnA2i7wlctl7HY79Xqdqakptra2CIfDXLhwgb6+Pvx+P+FwGI/Hg8/nw+VySdgTQghx12i1WpTLZVKpDH/7tz9maSlDuXyMSCSM338YqzXA5z4HR46oYDc5Cb/8Jbz8MszPq1B38qT684cfVmNaDsKKp8/nY2hoiJ6eHnw+nzF+ZWdnh7W1NSqVCkePHsVqtfLcc89RKpW4du0a9Xq9Lbp12ybwWSwWOjo6yOfz2Gw2ms0mKysrbG5u4nK5mJ6e5uTJk/T09DA0NERHRweapuFwODCZTO9qdIsEQyGEEAeVXtlrtVpUKhVSqQRPPvkL5uY28HpLBAKDmM39uN1+7r8fTp+GK1fUXr3z5+Hpp9VzoMmk9vP9zu+oo9WGhvZ3ZU/ndrtxuVyEw2Hcbrdxxm46nSYej2M2m4nFYhQKBTRNo1KpsLS0ZFT4Dvpc37YJfFarleHhYRwOB319faRSKdLpNPV6neXlZRKJBFtbW3g8Hvx+Py6XC5/Ph9vtxu/3GxU//Zg2n8+Hx+MhEAgYx7cJIYQQB5le1frpT3/K4uIiMzMzJBJZLJZLBAJxPvnJswwMRLHbEywuVnj6aSfXr1tZWXEBdiYm1Fm5Dz6ounY7O/f6I3pvTCYTwWDQ2KuXzWbJ5XJcvXqVaDTKyMgIhUIBp9NpjGfxer0kEgkjF1gslr3+MH4rbRP4NE2jr68Pu91OV1cX6+vrFAoFqtUq6+vrAMzMzNzyNjabDavVSk9PD9FolJ6eHrq6uujq6qK3t5doNEp/fz/BYBCfz3fLZO53clDTvxBCiPZzc2WvXq+TTqd5/PHHmZ2dZWlpiWq1SiBwHZMpw4c/nOPEiQaLiwnW1jKcPx/klVdc7OxYabVsjI7CuXMmzpxRI1gOEv252efzMTo6SqPR4Pr16+TzeWZnZ7FYLHz0ox8lmUzicDiMyp/f7yeTyZDP53E6nRL49gOTyYTb7eYLX/gCp06d4rXXXiOVSlGv12k0Gkb3bjqdplgsUqlUqFarJBKJ1/czpFhaWjKqfW6326j6dXR04HK5CAaDOJ1OQqGQcXU4HASDQTRNw2q17vWnQQghhLhFq9UinU7z1FNPGZW97e1tHA4HoVCIz3zmMwwPD+N2O0gkNvmXf3mc6ek5Fhbc1OtOxsY+hdd7hI98xMm5czZ6e/f6I/rtBQIBDh8+TKFQwGQykcvlmJqawul0Yjab8Xg8DA0NYbPZWFhYoFKpMDc3h8lkwufzHdhu3bYKfIAR+MrlMs888wybm5tGsJufnycej7OwsEA8Hicej1MsFkkmkySTybd9n06nE7/fT0dHB8PDw4RCIUZGRgiFQoyOjhIIBHA4HMY8H6nwCSGE2E/0wPfP//zPzM3NMTs7S7lcJhqN0tXVxWc+8xmOHj1KNpslHleB78UXX0TTbFitDkZHuxkf7+PBBy3cd9/BDDy6QCDAxMQEm5ubmM1mI/CFw2FMJhMej4fh4WHMZjPLy8u3BL4jR44c2IMc2ibw6SGr1WqhaRp2u52RkRE6OzuNCt/w8LAR8AqFAplMhmKxSD6fp1Qqkc1mjfX8bDZrPMZsNlMoFGi1WjSbTZxOJ+vr67hcLl599VWcTifhcBi73U4gEMBut7/p9/o1GAxitVqxWCwSDIUQQnxg9KXcdDrNq6++yuLiIteuXWNrawuz2UwoFOJTn/oUsViMUChEuVzmqaeeYmFhgeXlZarVKuFwB8FgmJMng9x7r4fubuuBaNB4J263m/7+fjo7O3G5XNTrdVKpFIlEgkQiQbVaZWhoiFarxcsvv0y1WmVhYQGLxUKlUtnr2/+ttU3gu5nFYsFisTAxMfG2j9Hb0iuVCpubm8TjcZaXl1lZWWF1dZXFxUW2trZoNBqUSiVyuRy5XI6tra23fZ/6/kGfz8fhw4fx+/2Mjo7i8/kYGRnB7/djt9vxeDyYzWYJfEIIIT5wqVSKn//85ywsLHD58mWKxSJer5dIJMKXv/xlxsfHcTgc5PN5fvGLX3DhwgXi8Ti1Wo1QKMjAQB/nzoV56CHvu5posd95vV5cLhc9PT243W6y2SyJRIKdnR22t7fRNI3x8XFMJhNWq5Viscj09DTNZlMC337yXkKUvvwaDAax2Ww4HA6i0SjDw8McO3aMbDZrVAPT6bRRBSyXy8bxbZlMhkqlQjabpdVqkc1mqVarzM7O4nQ6jT0SV69exel0Gj9R6MvAegjUl4ODwSButxuPx4PT6fwAP1NCCCHaWTabZXp6mrm5Oa5evcrm5ibNZhOfz8dDDz3EwMCAcfToc889x9raGisrKxQKBfx+Pw6Hg/vvv59jx47R29vbNoUKfRSb1+tlcHCQra0tCoUCpVKJhYUFgsEgPT09FAoF7HY7xWKReDxuHN1aLBax2+0Hrnmj7QLfe2G1WrFarTgcDgCGh4ff1Imrh7jt7W0SiQTz8/Mkk0nm5+dJpVLMzs4aoa9arZJOp2m1WmxsbAC3BlCTyYTdbsdqtTI0NEQgEGBkZIRgMGiMijl8+DA9PT309fVJ4BNCCPFbSyQSPP7448zMzPD8889TKBSw2WxEIhG+/vWvMzw8TG9vL/l8nn/8x3/ktddeY3V1lXK5zMTEBD09PXzuc5/jwQcfxGq1tkXY05nNZgKBAEeOHMHhcLC4uEgul2NycpLh4WFOnTpFq9XC5XKRSCRYXV3FbDaTTCbJ5XJomiaB76B4u/+4b/V6h8NBIBBA0zRjP18kEqFQKHDo0CGKxSI7OztUKhVyuRzVatW46mEwk8lQq9Vu6QwulUo0Gg1cLhculwubzcbq6iqhUIizZ89y6NAhQqEQfr//g/50CCGEaBP5fJ719XVmZma4fPky6+vr1Ot1vF4v9957L7FYjN7eXpxOJxcuXGBra4vV1VUymQwOhwOPx8PZs2cZGxuju7vbeO5rl8Cnfxxut5tYLEY+n8dsNlMul1leXsbtdmM2m3E6nXR1dVGpVNja2qJWq7GxsUEgEMDtdh+4bt27NvC9Fw6HA4fDQSQSMTZyws3nETZpNBqUy2XW19fJ5XLMzc2RyWSYmpoinU5z/fp1MpkM6+vrlEol1tbWADUb8OYvIk3T0DSNb37zm3ziE5/g+PHjEviEEEK8a6lUiueee47JyUkee+wxI9D09vbyR3/0RwwNDXH48GHy+TyPPvooU1NTXLt2jWKxSH9/P5FIhK985Ss88MADeDweNK09o0IwGOTkyZOUy2UsFgu5XI7XXnvNCLg+n4+xsTE0TTPGt924cYNms0l/fz8ej2evP4T3pD3/FW8zPZC93U83rVbL6LoNBoM4HA6azSbFYhG3202hUKC/v59iscj29rbRBFKtVsnn81QqFTY2NsjlcjQaDZrNJslkkrW1NYaGhu7khyqEEOKAKhQKxONxZmdnOX/+PIuLi1SrVWO70NDQELFYDL/fz9WrV9nZ2WF5eZl4PI7FYsHn83HvvfcyODhId3c3DoejrSdKOBwOuru7CYfD2Gw2Y15vKpUyno+7u7splUpYrVbq9TobGxu43e4DebauBL7bxGw2G126AIODg7RarVtems2mEfDm5uZIp9PGbMDHH3+c6elpSqUS9Xqd1dVVXnvtNcbHx/f4IxNCCHEQJBIJXnjhBS5fvswPfvADCoUCtVqNnp4evvGNbzA0NMS9995LLpfjb/7mb5idneXixYvkcjkikQiRSIRvfvOb3HvvvXR0dLT9PnKfz8fExISxjJvJZFhbWyMajbK9vY3dbufo0aO4XC6eeOIJ4wi2YrFIoVDY69t/zyTw3QZvbMx4O81mE9gd36KfydfZ2Uk6nSYSiXDlyhVjL8X6+jr5fJ5ms/kbq4xCCCHubuVy2RgzVqlUjLmxfr+fWCxmVKtSqRRra2tsbGzQbDZxuVwcP36c/v5+urq68Hq9d8UhAmazGU3TcLlcRKNRTCYTpVLJGNcWCATo6OigUChgtVpptVokk0k8Hg+lUolqtWos/x4EEvjuIJPJZOwHdLvdtFotjh8/TrPZ5OzZsyQSCf7Df/gPrK6usrq6SjKZNNro22nDrBBCiNsvk8lw+fJlFhcXqdVqaJpGOBymv7/f2I+nj2m5dOkSa2trxv70b33rWxw/fpxYLIbb7b4rnm9MJhOaphEKhThx4gRLS0tsb2+Tz+e5ePEig4ODfOxjH8Pj8eB2u9ne3mZhYYFyuUw8HieXy+Hz+STwiTe7+Qvo5nbuZrNJIBAwzulzuVy0Wi1jr18qlTI6eYUQQoi3ommaMVRYf74xm81YLBY0TcNms+H1egmFQoyPjxMIBPB6vYTDYbq7uwmFQlit1gMTYN4v/XOk7+XTm1uq1SpbW1tGpVOfnev3+8lkMlSrVZLJJIlEAqfTidVq3eOP5N2RwLcPmEwmwuEwXq+Xvr4+ent72dnZIZvNsrKywrVr14jFYsRisb2+VSGEEPuU1+tlYmKCWq1mhDaTyXRLsBkdHaWzs5M/+7M/MwYsu91ujh49eqCqVbdTMBjkzJkzaJrGY489Ri6X49VXX6VSqWCxWAgEAhw6dAiLxcJrr71GuVzm+vXrAMYM3YNAAt8+oH9BapqGz+cjGo2Sz+dJp9Pkcjk2NzcJh8N7fZtCCCH2MafTSU9PD5ubm9hsNur1OpVKhVKpZOxN00+V6u7uplKp4PF4jNOeDtog4dvFbrcTjUYJBoNommacrZtOpymXy7RaLcLhMOl0Gk3TaDabxONxYzbfQSGBbx8xmUyMjIxw7tw5CoUCGxsbLC8v8+KLL+L3+zl69Ohe36IQQoh9KhqN8vDDD2OxWAgGg6RSKXZ2dtjY2GB1dRWTyURPTw92u51jx47RarWMgsPdGvZAdeueOHGCTCaDy+UinU6zuLho7Nvzer0cP34cn8/H+fPnSaVSTE5OksvlePjhh/f69t81CXz7jN/vN87bBYwKXz6fB3aHPd8NG2qFEEK8exaLBafTidvtJhAIUKvVjFFgendpZ2cnVqv1wJ0S8UGyWCw4HA5cLhd+v984JrVcLpNKpTCZTIRCoVu6dVOpFG63m0qlQr1ePxDzCu++xfp9TK/wPfDAA8Y8v6WlJV588UVWVlZoNptvOutXCCGEAIxKXTAY5N577+XQoUNYrVby+TwXLlzg8uXLVCqVvb7NfcdsNmOz2QiFQtxzzz2Mj49jsVgoFApcvHiRmZkZDh8+zKlTp/B4PDQaDaanp7ly5Qo7OzsUCgXq9fpefxi/kQS+fcRkMuF2uwkGg7jdbmOydy6XI5/PUywWD9R+ASGEEHeOvjxrt9uJRCIEg0FMJhO1Wo2dnR0SiQSNRmOvb3PfMZlMxuEJHR0dBINBzGYztVqNeDxOKpUyzhh2uVw4HA7q9TqlUol8Pk8ul5PAJ967SCTC8PAwfX19dHV1YTabSafTrK6uMjU1xfb29l7fohBCiH0sEAhw3333cfToUaPCd/78eS5fvky5XN7r29u3/H4/9913H8ePH8dms1EoFHj11Ve5cuUKFouFUCjE2NgYY2NjWK1WKpUKU1NTXLp0iWw2u9e3/xvJHr59xGQyGTOQvF4vgUCAcrlMo9Ewzkj0er17fZsHk74UXqlAsQiNBtxcLTWbwWYDTQOPB/S9GPt8T4YQQryRzWYzKlWaplGpVEin06TTaarVqjGUeb/vObvTbv68WSwWY95eKpWi0WigaRqBQIBQKISmacbZu/F4/ECcrSuBbx8ymUwMDg5y//3389JLL7Gzs8PKygovvPACZrOZQ4cO7fUtHjytlgp5MzPwzDOQTMLKCrx+3B0+HwwPQ18ffPzj4HSqECiEEAeM3lWaz+fxeDxUKhVWVlZwuVysr68bS5cHZWDwneLz+Th16hSNRgOn00mxWGR2dhaTycTOzg6hUIjjx4/j9Xq5fv06yWSSyclJCoUCZ86cob+/f68/hHckgW+f8nq9dHZ24na7Acjn82xubpLL5QDp1n3P9MpeMglbW5DNQj6/G/haLfV6u139WbN5a6VPCCEOCE3T8Hg8xpFg+XyeTCZDsVgkm82Sy+UIhUJ7fZv7jsViwefzGaeVZLNZSqUShUKBfD6Py+UiGAySz+exWq00m01SqZQRqvVz7/fr87IEvn3IZDIxNDSE2Ww2pnmvrq5SrVY5dOiQMTtJvAczM/D885DLqfB35Aj86Z+CPntqZQV+9StYWoKf/Qy6ulSl7/XALYQQB4U+yD8QCHDy5EmWl5e5cOECxWKRixcvks1miUaj2O32vb7VfUUfzxIKhYyTR65evUqxWOTy5csMDAwwNjZGJBLB6/WyurrKzMyMsayrD7berzMNJfDtU16vl0gkgtvtwWLRqNVaZLNVisU6tVoLiwUsFgl971o2C4uLKuA5HBAOw9iY2rOnczhUGFxZ2V0CFkKIA+bmbt2Ojg5yuRxms5l6vU48Hsfv9x+IrtI7TR9rY7PZCIfDt3zeEokEXq+XI0eOGJ9bfXSL1WqlWCxSLpexWCz7NvDJJqV9KhKJMD4+ztDQOH19h+jqepBI5KvU60eYn68Qj8sX63uytgbPPgv1OnzlK3DffbvVPVAVvS99CU6dgosX4dIlOACbcIUQ4u34fD7OnDnDsWPHsNlsRoXv0qVL0q37DrxeL6dPn+b48ePY7XZKpRKXLl3itddew2q1GtM0hoeHsVqtlEolZmZmuHz5MplMZq9v/21J4NunHA4HXq8XrzeCz9eD0zmIpo1SrYZJpZoUizKA+T0pFmF7W1Xu+vtVhc9k2n1xOtXrQyG1zy+Z3N3fJ4QQB5DNZqOzs5OOjg4sFgv1ep2dnR2jq1SG+b+1N37eGo0GyWSSdDptzOsLBAIEAoFbKoCbm5v7OkjLku4+ZjKZ6O7+FMePn2BmxsuNG15CIQ+RiIOTJ80MDkpPwbtWr0OppEKc0wlv7E7Tx7HY7VAo7D5WCCEOKI/Hw7Fjx6jVang8HkqlEsvLy2iaxvb2Nj6fD7/fL926b+DxeLjnnnswmUy4XC5jlE21WjXGs0xMTGCxWFhZWWF7e5sXXniB9fV1RkZG9m23rgS+fUhvyGi1wOsdoLNzgPl5SKdhZ0etTg4N7e09Hjg378mzWN48csVkUqHPbFaPk/17QogDzmq1Eg6HCYVC2O12zGYz+XyebDZrnN4ks13fzGq10tHRYTRn1Go17HY7VqvVOJUjGAwao22azSYbGxs0m00KhcJe3/7bksC3z/X3q+1my8vq95ub8MoralycVOLfA7sd/H4V6NJpVeW7uQO3WlWvz+chEFBz+WQOnxDiANPPiPX7/Rw9ehSv18u1a9colUpMTk5SqVTwer3SrfsGZrMZl8vF+Pg4/+7f/TtqtRqRSASPx0NnZyeNRoNGo0G9XqfVatFsNkkmk7RarX19VrEEvn3O74feXpU/QOWRtTWVTVqt3dAnS7u8OQHf/EnRNHC51OvyeXV1uXb/vFZTI1vKZfV6/bFCCHFA6V2nDoeDaDRKsVg09vJtbW0Z1StxKz0oh8NhHnroIUwmEz6fD/PrRYBMJkOtVqNWqxn7IMvlMsVicV93P0vg2+c6OlQxqrdXFZ6aTdV7sLGhpof4fKrPQLyuVFKjVRwO9aKHtoEBNVfPaoUf/AAOHYLf+R21vNtqqfl7P/+5CnznzqlPuPzUK4RoAy6Xi3vuuQeXy8Urr7xCuVxmcnKSYrHII488ste3t2+ZzWbcbrexjNtoNMhkMmxtbfHCCy8wNTVFJpMxlngjkQgOh2Ovb/ttSeDb59xuVWzy+9U1n1cv2SykUiqv3PWBTy91tloqsOXzajn25sAWDKqQt7KiRq5o2u5ollZLpejXXlONG/ffrwKfJl8eQoiDz26309vbSz6fR9M0yuUyGxsbOBwOqtWqnNz0NvSOXP3z02w2yefzpFIpFhYWmJubo1wuYzab8Xq9BAKBfd0AI89o+5w+NaSrC+65B+bnVdjb2VHj4sbH1X6+u/rrtNWCyUm10fHKFZibgwcfhAceUGk4HIaeHvjwh9XwZadTfcL+z/9Rb28yqSaNU6fUY++/X5VObbY9/bCEEOJ2cDqdHD58mFarZRwZtrKyAkAikaCzsxOXy4UmP+S+pWazSblcJh6P873vfY+5uTkWFxcpl8t0d3fj9/v52te+xqFDhxgZGdnr231b8q+7j+khrtVSy7mxmKrqgQp9Cwsqz9y1zRv6B95qqbB38SI8+SS8+qpazh0cVEu44bD6RIVCKsTl82oJ95VX1NuaTNDZqZZyu7thdFSWc4UQbUOv8KXTaaNBI5FIYLfbyeVyFIvFfb0UuVf0yp6+Ry+ZTPLMM88wPT3Nzs4OjUaDUChEb28vDz74IKdOncLpdO7xXb89CXwHhF7h295Wv4/H1QpkNHqXB77FRVXu/PWv1Vm5a2tqWbdYVMHujadlhMPqEzk8DMeO7b7e5VKfZLdblnKFEG1FPwrM6/UyMjKC2WxmcXGRarXK7OwsNpuNe+65B5usatyi1WoZQ5UfffRRFhYWmJ2dJZ1OEwqF8Pl8fPWrX339VKwhY/TNfiXPbAdEKKQKT6++qn6fzaqVyxMn7sJu3Zsre+vr6hNx8SK89JJ6vcmkQl+ppLpvb34bn0+93BWfKCGEUHvR9FEjPT09lEolVlZWqNVqrK2t4Xa7OXz48F7f5r5xc2WvXq+TSqV44oknmJ+fZ21tjXq9TmdnJz09PXzsYx/jxIkTOByOfb8kvr/vThgCATVsubNTFaHqdVXt295WBS63e3d0S9vTg146Db/6lUrB8/Pq9ceOqerdhz8MR4/C1hb88IfqkxMOq5KoTK0WQtyF7HY74+PjmM1mXnvtNWq1GrOzs7RaLR588MG9vr19pdlsEo/H+dWvfsXi4iI3btwgkUjgcrnwer186UtfYnh4mL6+Pmw2276u7Okk8B0Q+izgSET1HJRKalk3HodEQj+V4y4oXLVaajbN5iasrsKzz6p9e/oxaGNjatzK2bOqo+X6dfjJT1TX7fAwHDmi9vbBXfDJEkKIXXa7neHhYZrNJjabjWKxyNLSEgClUumu79a9ubKnD1P+53/+ZxYXF5mfn6dardLV1UVXVxef+tSnmJiYIBAIHJilcAl8B4jJpJZ2x8fVHL6FBchk4MYNNWauq2uv7/AD1mxCMqn25v3616ojd2lJhcCxMdVw8aEPqbBXKMBjj6l9fZOTam/f4qJ6H/feq5oybDYJfUKIu8bNgc/pdJJKpVhfX8dkMpHJZCiVStjtdiwWy17f6p5KpVK89NJLzM3NMTU1RTweR9M0AoEAn//85xkcHKS3txe3232gPlcS+A4APZOYTGpV8tAhlVsWF9Wq5vXrapzcqVPq2raaTVXO3NqCf/kXeOYZ1ZTRaqkUfPq0Wso9dw5+9jN4/HE4f14FPrtdlUbDYRUYWy0ZuyKEuKs4HA5GR0eNwNdsNllfX6derxuBT9O0AxViPgjJZJLHHnuMhYUFrl+/Trlcxu/3E4lE+PznP8+hQ4fo6ek5cEfSSeA7IPTQFwyqYlY8rn6fzcLMjMoxbdut22yqil2hAE89BdPTaoByo7F7BMnZsyro1WqqeeP8edXIsbmpUvDYmAqEZ86oDY8H7AtVCCHeL5PJhM1mw+12093dTT6fZ3t722jeiEQijI2NHZglytstnU5z9epVZmdnuXLlCtuvj8UIhUJ84hOfIBaL0d/fj9/vx2KxHLilbwl8B0wkAsePq7FzoObyTU6qucJtG/haLbV2vbOjKncvvqiSbq2mGjDGx+FjH4OPfGS38vf00/Dcc2rEiqapZo5vfUt9ou6KzY5CCHErfTyLx+NhYGCASqVCMpmkWq2ysLBgdPH67poOwFvF43Eef/xxZmdneemllyiXyzidTjo7O/na177GyMgIIyMjB3ZmoQS+A8brVSdr9Paqa0eHGtei799rq/EszaY6F7dYVM0ZCwuqUaNcVpsZnU61H+/UKXWU2swMXL4ML7+sunhBNWiMj6vH9PSoM+r040uEEOIuolekbDYb/f39VCoVrl+/TqVSYX19HbfbTblc3uO7vPOy2Syrq6tMTU1x6dIlNjc3aTabBAIBzp07x9DQEP39/YRCoQNZ2dNJ4DtgQiHVrTs7q/bydXfvTiI5AF3h702rpfbb7ezA3/6tGr+yva327elnyn360+oYtVdfVSdnPPGEatYAFepOnICvfU09fnRUgp4Q4q5nt9uZmJjAZrPx9NNPk8/nmZ6eplKpkMvl9vr27rhEIsFzzz3H5OQkTzzxBKVSCbPZTDQa5Q/+4A8YHBzk0KFDuFyuvb7V90UC3x5qNtVKZbms5uo1m2ovnsej/rzVUtmmWlWPy2TUdrVwWG1Ls9vVnr7BQTVe7uYsk8moUOh0qu1r+/g85zfRh102SyWaV67Aygq2zU0s+bz65FitqrJ3+LD6JGxsqGNHLl1SFcBmE/r7VUVPT8PhsFT2hBAC0DSNnp4eyuUydrvdmDmnj2qp1WpYLJYDMVvu/cjn88TjcW7cuMHLL7/M4uIitVoNj8fD0aNHGRkZIRaL0dXVhaZpB7ayp5PAt4eaTZVP4nHVj1Cvq5VHPfCBKnDpo1du3FCngp07p7alud0q05w+rZZ69a/NVkv1Kjz6qBrU3N9/sAKfflB1PZmk9vOfw9QUgdlZLJmMSq9dXfCVr8ADD6hl3KtX4Z/+CX75S/VJBBX0PvEJ1cxx770S9IQQ4nUOh4PDhw/jdDpxuVw0m00WFxfJZrOkUilj71q7B75UKsX58+c5f/48P/rRjyiVSjQaDQYGBvja177G0NAQp06dwu12H/iwBxL49ly5rEKd3oPwxqNfGw21jS2bVauZuZwKisWiWulcXlbFrf7+3SJWq6Xe78aGCoGNxt58bO+VPuyyVCpx8eJFMuvrZObnMW9t8YDXS9Ttxn76NNrAgErF+byaSTM1pfbs1Wqq1BkKwcSEqgBGo+qT0AZfrEIIcTuYTCacTidut5tQKEQwGCSfz1Or1YjH42xubtLd3Y3n9epDs9nk+vXrbG5uYjKZjLe32+243W4jOOpz6fZ7NaxUKpHL5Zifn+fll19menqaarWK0+kkFosxOjrKyMgIPT09WK3Wtgm+Evj20M3Np8mkCnaFwq2PqVbV6zY31RLtyIgKcPE4XLumrtvbavzciRO7Vb58XhW+9OXig+Dmg6r/5m/+hpnpaRanprBVKvzHe+7hTE8PkW9/G21iQs3jW1qCH/9YdeYWiyoJHzsG990HH/84fPSjEvSEEOINzGYzHo+HYDDI0NAQpVLJmDc3MzOD2+3G7XYbga/RaPDoo4/y2GOPYbFYsFgs9Pb2Eo1G6e/vp7+/n76+PmKxGC6Xy3i7/SqdTjM9Pc0zzzzD//yf/5NisUilUqG/v5/f+73fY3R0lIceegi32902YQ8k8O25VuvWl3f682Zz9zGaBg6HWqpttdRRa9vbapnX49l9vH7i2H6mH2dTLpeZnp5mdXWVlZUVtre3KTcaWGw2WsPDtIaHaXg81JtNzDMzmJeXVRmzXFadLC6XWvI9ckRV9iwWCXxCCPEGevVN0zQikQidnZ3Mzc1RKpWIx+Osr69TLpeNVZdarUYmk2F7exuz2YzJZKJWq5FOp0mn02xubrK4uGiERZ/Ph91ux+l0YrPZcLlcWK3WW64mk8l4X3dKpVKhXC6zsrLCK6+8wo0bNyiVSlitVrq7uxkZGWF8fNw4H7fdBlBL4DugnE61lc3jUcEvn1dzhru6VKXvoGm1WqRSKb73ve8xNzfH+fPnyWazBAIBHB0daL/7u5hPnqQKkEzi+Lu/w/z002oQYbWqgt6hQ/C5z6nqnoQ9IYR4R3a7nePHj+N0OnnttdfI5XJMTU1RKpX48Ic/DKiQVCwW2djYYH5+3vgBfWZmxghtenAzm814vV5CoRCRSIRYLEYoFGJwcNCoJgYCAWKxGFar9Y6fVJHNZllbW+PXv/413/3ud8nn85TLZYaGhvj0pz/NkSNH+MxnPoPb7UbT2i8etd9HdAC1WuqItHRaNWbcXOnb2lKrl/rJGjqTSS3f+v1q2ojNppZ863W1fU2v7DUaKgyazWrZuNVShTBNU1e921evWu9FRqpUKqytrbGyssLS0hJra2vUajVsNhvj4+P09vbiDYdpWq3cmJ6mtLPDQCZD4PVvLg63W611HzumulTkFA0hhPiNLBYLkUiEfD6PzWaj1WqRTCZxOp1GA4PJZELTNMbGxrj//vspl8tUq1XjWq1WqVQqRvUM1J6/er1u/CBfLBbxer3E43E8Hg+Li4vGAGhN03A6nbdc9cDlcDiMKtv7qQTWajVqtRrr6+tcvHiRubk5stksZrOZSCRCX18fExMTDA4O4nQ6sR6kLsf3QALfPtBsqv1409Oq/8Dv3/2zUknt7XM6VSXvjUZG4A/+QI2g+3//X9Wx+6EPqf4FvXlDP4XsqafU3zU8rFZAR0ZUhbC7+63f952STCb5+7//e+bn53n66adJp9NYrVYikQjf/va3OXLkCNFolGqtxl/+8Ie8duECv+90cnxggBMOB312O3z5y/Dww+oTJYQQ4jey2WwcP36cYDCI1+ul0WgwOztLPB4nHo9TrVaxWq3YbDa+853v8NWvfpXV1VVj2XdnZ4fNzU22trbY2NhgZWWFarXKzs4O8XichYUFTCaTMaxYH/Wih7vu7m68Xi+Dg4P4fD4GBwfx+/2Mj4/j9/uJxWI4nc73vexbLBZJJpM8+eST/Pmf/zmZTIZCoUBvby9nzpzh9OnTfOMb38Dtdrf1sXIS+PYJp1OFsM5OdXqGLp/f7Ud4q25bm00FRL9fhTeTSTWs7uyot6nX1apnuawOqqjVVID0eFTDiNut/k6HQxXGNG33qu8RdDp3Tyi7nftXK5UKiUSClZUV5ufnWVpaolQqYTKZGBoaoqenh+7ubvx+P+vr66TTadbW19mOx1nt6sLncDDc10czGsXU1YXJ42nD6dPiQKvX1ZaDSmW3xb7RUF9MTqf6Ar55ppJsQxB3kNlsNrp17XY7VquVZrNJpVJhZmaGUCiE1+vFbrdTr9dpNBo4HA6CwSBmsxm/308wGCQajdLV1UV3dzfFYpFcLketVqNSqRjXer1uVAVrtRrFYhGTyUQ2mwXA4/FQqVTweDyUSiU8Hg/b29s4nU6j8udwON7yqjeS3Ezff9hsNtna2mJ6epqFhQUSiQSNRgOv10tXVxcTExMMDQ3h8Xju+BLznSaBbx8wm+HoUXUs7Cc/qc7K1a2tqWaMV16B8+ff/LY2mxq+PDystq7VavDzn6tehlpNdfhevapC3+OPq5Cnaep5RdPUkq7LpUJeX5967onFVIAcGVETTkZGVAj1eG5vAS2RSPDTn/6U2dlZfvazn5FKpWi1WkSjUf7Nv/k3jI6OcvjwYVqtFj/4wQ+4fPkyN27cIJvN8mwgwLzPx/Dv/i5DH/0oms/XdhtsRRvI59UX4+qq+iLWjwr0etWe00gE7r9fKtNiT+ihrVKp0NHRQTgcplgsUq1W+a//9b/yv//3/2ZwcJBwOEwsFqOjo4O+vj46OjoYGRkhFAoZe/jq9Tr1ep10Os329jbxeJyVlRWSySTLy8ukUikWFxfJ5XKsra0ZW3lMJhOLi4tvqgBaLBbcbjcOh8OoAOp7APU9gfrV6/XifIuvIX3/4ZNPPsn/+l//i62tLVKpFNFolJGRET7ykY/wb//tv8Xj8bR1ZU8ngW8fMJlUcGu1VNAKhdTrWy0V2Mrlt19yNZlUaPN41Cy+eFzt5UulVDHBbFZhzuVS77vVUs85+t6+VksVHvT9qW63+jOfT10DAbWsHAqpt3e5Wjgceez2Emaz+rutVitWqxVN04wvGn1W01up1Wrkcjm2traYm5tjaWmJXC5Ho9Ggt7eXvr4++vr6iEajpFIpY6Pt5uYm9Xodm81GsKuLaCyGo7MTUzCoSpFSHRH7Rb2ufuJKJmF+Xm3Q1b9YHQ7162RSPXZzU30Bh0K7X4hC3AHNZpNMJkMymaRSqdBoNIzKWCqVIpPJYLFYyOVyNJtNstkslUqFTCZDPp8nnU7jcDiMSpvVasVkMuFyuQgGgzQaDTweDw6Hg0wmg9vtJp/PEw6HqdVqasB+vW783ZVKxZjF2mq1KBQKRvjzeDy0Wi18Ph+VSoVAIIDJZKJcLmOxWIzA12q1jJdEIsHa2hpLS0tsbm5SKpVwOBx0dHRw6NAhYrEYwWAQm832js9Z7UK+u7SJ7m741KdUEeHnP1fPL42Geh655x4V7DRNBcG5ORXyFhZUoEynVQicn1cB8cYNdbVad68Wi3o+8njg8OErDAxcxedTv+/s7KS7u5uOjg46OzuNL/y3k0wmefbZZ5mamuJHP/oRqVSKUqlk7NkbHh7m9OnTAPz5n/85N27c4JVXXiGZTBKJRAgEAvyrf/Wv+NCHPkRXVxdWm03CnthfcjlV2XvlFfjhD1WZ/POfVz95eTyqG+uJJ9QX4/y8aq//8pfVT1hC3CHFYpEnnniC+fl55ufnSSQSRmjTQ1ihUMBisXDx4kVjqLLFYsFmsxl7rfXv/d3d3YRCIbq6uggGg4yNjeFyuQiFQrRaLRqNhhHsisUiq6urZLNZZmdnyWazLC0tkc/njevW1hb5fJ6ZmRnMZjNXr17FbDYbRYaPfvSjjI6O8pWvfIVwOGx8XHqTxi9/+Uv+7u/+zmgGDIVCjI6O8vDDD/Nnf/Zn+Hw+HA5H2wc9nQS+PaZXyTRNBbQ3/r/Tu3FVJU1dQV1ttt2CgKapVSKfT1XiGg1VmXM61e8tFrVkHAqpX+dy6u0LBdUFrJ/Z22iowsTN12xWXQsFcDpbOBxJWq1F3O4mLpf6qS+bzZJIJEin09hsNqO7ymq1Glf9i2pra8vYs5dMJimXy4RCIbq7u4nFYvT09FAsFikUCqysrLCyskK5XMZkMhn7RHp7e+nq6lIbemXfnthvSiUV6l7fn4TNpr743G71hVqrqXCXz6t9G/qGW71F/y55AhJ7o9FoUCwWjWXWhYUFisUizWaTUCiEw+EwqmS1Wo1Go2Fcy+UyjUbD2B+n79krFAoUi0UymQyVSoVcLke9XjeaQfQVIJPJZOyV06trlUqFQqGAzWYjn8/jcDjI5/N4vV7K5bJR+atWqzQaDWMfoH5tNpvGuBhQg5WTySQrKyssLy+TTqcxmUz4/X6Gh4eJxWJ0dnZit9vvisqeTgLfHnO5VEhrtdRzwBv3jOrNE4GAKgL4fCqweb3Q26v278HualEsBt/8pjqE4l/+RS3z9vertxscVM8rNwe7el2tLJVK6pi2XE519WazattRNqveVyqlHpPLQaNxhZWVn1Aq5alUVMldf7HZbPh8Pjo6OggGg/T09OD3++nr68NkMtFqtVhYWOD73/8+6XSaYrFIJBLh61//OkNDQ3z0ox8F4Hvf+x7z8/M8++yzxONxHA4H3d3d/PEf/zGnT59mdHQUj8fTVlPQRRtZXlaldp8PvvpVGBhQR/3pZfNQSB2Eff06/F//l/qi+1f/Sn1By/9p8QErlUqcP3+epaUlfvjDHxp761wuF1/+8pcZHx+ns7MTp9PJ2toa6XSa9fV1UqkUGxsbJJNJNjc3icfjJJNJUqkUS0tLxvPAzT/o64OXvV4v3d3d+Hw++vr6cLvdxvFtx48fx+Fw4PV6MZvNRoVOX/1ZWloim82yvLxMJpNhZWWFQqHA8ePHGRkZIfB6ZVwPob/+9a957LHHmJycZG5uzvi7Hn74Yb7zne/Q0dHRNufjvhcS+PaQyaQqcF6v+vXbBT67XVXpOjt3G/o8nt3AZzLtFgScTvX6ZlMFva4u9Tr95Y0aDXUGb7ms/p5cTl2zWXXNZFSQTCZb5HJQLrdwOFpoGjSbu3sw9J/4Wq0WXq+XVCpFIBCgUCgQCAQol8uYzWZardYt+ylMJhMOh4Oenh66urpotVrGF/jCwgLZbJZqtUpvby+dnZ3EYjFisRgej0eaNMT+VS6rDbVOp/rCDYd3B1+C+sK2WndPiimVdkvqEvjEB0SvkuVyOZaXl1lYWGBzc5NUKoXX6yUYDDIwMMDIyAjd3d1Gh2wmk8HlcpFKpYz9eXp3r15lazQaRuOGvhxcr9eNJgyPx0M+n8fn81Eul/H5fDQaDfx+Px6PxxiJcvOL2Ww23r/P58NsNpPL5bBarRQKBWMrkeP1Te75fN5YGZqbmyMej1Ov13G73QwMDBgvTqfzjp/ysR9I4NtDFguMj6ulVv3YNLf71scEAircdXTA2bO7HbWnT6uBy273rc8PHo96n4ODau+ezfbm93kzsxljL57eqHHqlLrqlcBKRT0XbW+3yGRge/sMqZSZ9fU1tra22N7eNrqfEokEhUKBUqnE+vo6s7Ozxn4PXbVapVgsYrFY8Hq9RKNRxsfH8Xg8/OQnP2FjY4Nf//rXbG9v02w26ejo4Nvf/jbHjx/n1KlTdHR0tOUUdNFGikXVjNHZqX7q0n8y0+lt8nr53u1WP21ls+r38v9bfAD04ysXFhb4y7/8S5aXl9nZ2cHpdPK5z32OkZERPvnJTxKLxYzl156eHmMZVb/W63WKxSLlctmYuRePx9ne3jaqf+l0mo2NDfL5PPF43FjmtVgsTE5OYjabjePLHA4HNpuNUCiE0+mkv78fj8dDT08PLpeLaDSKy+XigQcewO12G3P99JDodDppNps89dRTvPjiizz33HNcvHgRTdMIBoM88sgjfPOb36Snp8cYKXM3ku8qe8hkUgHunf5cn3+nPy/ofD718kb6412ud7f/W/87QIXDN7r5LN+ODlXxCwTC7OwM4XDYcbvduFwu7Ha78cVXr9eNfRX6T3z6/pCbu8D0FnxQ34iazSYLCwvGkkGxWCQajRKJRBgaGmJ0dBSfz3dXtM+LA67V2t2Tp88/upleltc36ZpMuzP63upQbSHeB/17b7FYNE41Wl5eZnNzE6vVagw5HhkZMRrjdG817kTf21ev19na2mJnZ4ft7W38fj/xeByn00kymUTTNDKZDCaTyWjY0Of8tVotstmscW8WiwWfz4fT6aRQKBj793w+HyaTydgq5HA4jDN5LRaL0Wlcr9dZWlpiZmaGra0tCoUCkUiESCTCwMAAo6OjeL1eNE276yp7Ogl84jfSn5fCYRN+v4murkPUagPGsTr65ln9uJ1MJsPOzo6xaTabzbK+vk4ul2N9fZ1CocDOzg6NRoNcLsf09DT//t//e0wmE6lUimq1SqlUIhQK8Sd/8ieMj49z7tw5otFo2w/GFG3CalX7MDRNNWY4nW8d5PT5SBaLqvJ5PG8Oh0K8T5VKhdXVVebn5/nud7/L6uoq29vb2Gw2Hn74YWKxGF/84heNky7eDb1bV19WHR0dveX5oF6vG6s5yWTSGK+VzWZZXV0ll8uxsrJCPp83TujI5XLkcjmy2ewtncF6E6BeVOjq6sLr9dLR0YHL5WJ1dZVkMsni4iIbGxvU63VcLhcf//jH+cIXvsDY2BjRaPSuXxm6uz968Rvt/iBkwmZTVUCXywN43vRY/ac3fWPvzs4ObrebVCqF3W4nk8kAap+F/lOe3o07PT1ttO3rw0BDoRBjY2NMTEwQCoVwvVM5VIj9xGpVAU5vifd4dkvlsNulpZ+BCLvleSFuE301pVwus7m5yerqKrOzs2xubtJqtXC5XEZlr6enh2g0+q7e782drXogezvlcplsNks6nSYYDJJOp419gfpJG3qxoFAoGHv/9Dl9+vOC3oVrNpuNI9m6urpwu90sLi4Sj8dJp9MUCgV8Ph+BQID+/n6OHDlCJBIxOnLvZvLdRdw2+ibYQCCA0+mkr6+Pw4cPG0fq1Ot1SqUSpVKJ7e1tbty4wX/+z/+ZVCpFvV4HMN7+j/7ojxgZGeHcuXN0dXVJ2BMHSzQK586pPRCPPw7HjqmTNfQl3GxWHYGzuKge29Gxe5bhXf6kJG6farVKMplkdnbWqOxtbW1hNps5efIk/f39/N7v/R6Dg4N03Hym521ktVoJBAK43W5j4PJ9991HrVajVCoZzwvVapV4PE6hUDDm8OkrQuvr6+TzeTY2NigWi+zs7JBIJFhfX8disVAqlYwlZpPJxEc+8hEefPBB7rvvPoaGhmQb0Osk8InbRv+pT++wejvlcplEImHs+8vn8zRePyhY0zTcbjeHDh3i0KFDRKNRfG+1WVGI/czlUtPQKxU1j6+rS1X6HA4V+DIZ1aGbTqvNtqHQrWFP5vGJ90GfoacHvo2NDSYnJ9ne3qZWq+H1eunr62NwcJChoSH6+/s/sHvRz7m12Wy436GDsFqtsr29TS6XIxAIkMlk8Hg8ZLNZzGazccqHpmlGA0mhUDCqmIAxFqa/v5/jx4/T19eHx+O56yt7Ogl84o6zWq2Ew2H6+/u57777WF5e5tKlS5hMJiYmJhgcHOTs2bMMDQ294zcIIfatzk51Rm4wqMJdJgP/z/+zOzCz2dwdvvz1r6uxLTcv+948a0mI90hvlJuenuYv/uIvWF5eZn19HYCJiQn6+/v51re+xcDAwAdW2XuvNE0jHA4TCAQIBoNGBfDmqx76NjY2yOVyXLt2ja2tLWOm65EjR4jFYnzkIx/h9OnT8vzxBhL4xB2n/8Snt91XKhWjzT4UChmdVfvlG5EQ75k++DKdVsu16+tqCbfV2j0mR5+HNDysgl+9rubxadpu+7yEPvEe6Pvc6vW6cTTZq6++yvb2NqVSCbfbTVdXF7FYjCNHjtDb22t8791rZrPZ6Aj2eN68R1yvWNZqNZaXl0mlUphMJjweDzs7O+RyOQ4fPszExAQjIyN0dnbe6Q9h35PAJ/aMx+Ph5MmTuFwunnnmGUqlEul0mnQ6bSzxCnGg9fbCpz+tgtzv/u5u9U4/pLpahStXVDC8eFEN2fzMZ9S+vtHRd57bJMQb6HPybty4wfe//30WFxdZWlqi2WzS399Pf38/f/Inf0J/fz/hcPjAzaPTO4P7+vqIRqN0dHRQLBapVCrU63VCoRA+n+9ddxrfbSTwiT1jt9vp6ekhk8mgaZpxyoY+s0//aXU//PQpxHui/5/1etVLq7U7Y6/Z3A18Gxtw+bJq3vjVr9Qev4kJ9bax2J7dvjhY9O+V+lm3W1tbPP/882xvb5PJZHA6nYRCIfr6+rj33nvp7u7G4XAcqMBnMpmM05X0fd2yCvTeSOATe8bpdHLo0CHq9bpx7M7GxgaaprG9vU04HMbr9WK1Wvf6VoX47bVa6kDqp55Sh1IvLe0eel2p7B5snc2qmXxXrkChoDp7pVIh3gW9cWF2dpaf/vSnzM7OMj8/T61WIxQKEYvF+M53vmPs2dNP0RB3Fwl8Ys/YbDY6OzuNo33MZjOZTAa3200ul6NQKMimW9EeEgl4+WVYW1NLt6dOwZe+tDuHr9ncDX+rq2ppt1qVbl3xjvTKXrPZpFarsbW1xbPPPsva2hrxeByr1UpPTw+9vb185CMfoaurS84hv4tJ4BN7xmQyGWNYxsfHsdlsTE1NUa1WmZqaAtQ+PzldQxxoJpMKb9vbsLPD6wdSw7Vrarn38GGMqebpNNy4ocJfobC7/CvE22i1WszNzfHUU09x7do1rl69SrlcxuPxMDg4yB/+4R8Si8Xo7OzE5XJJZe8uJoFP7Bl9T4bD4aCnp4dyuczs7Cy1Wo319XVcLhcnT57c69sU4renP7nW62rJNpdTQS6TUZW8ri4YGVGB0GpVj1tbU7+uVORcXfGO9Hl7GxsbPPnkkywtLbGysoKmaYRCIXp7e/nEJz5BNBrF7/ff9UeL3e3kX1/sOafTycTEBFarlVdeeYVyucz09DS1Wo1HHnlkr29PiPfP51N78hwOmJ5We/WuXoVyGe69V3XldnbuVvayWbXXz+NRnb5vcYC9EEtLS1y+fJkLFy5w6dIlcrkcNpuNwcFBvvjFLzIyMmIs4x6kBg3xwZDAJ/ac3W5ncHCQWq2G1Woll8uxvLwMYJylCNKtKw4wj0dV8opFtURbKsHCghq74narAc2hkFrSzWRU6NvYUK/v6JDAJ26hf0/c3Nzk6aef5tq1a0xPT2MymXA6nfT29vLZz36Wzs5OOjo6pLInAAl8Yh+w2+0MDw/TaDRwuVykUik2Nzcxm82kUiny+TxOp1O+aYmDy+dT41ayWTV4uVSCuTkVBEsl9bqxMXXd3lbNHHNzu68PBPb6IxD7yNraGnNzc7z00ku88MIL7OzsYDKZiMVifOxjH+Pw4cP09/fj9XqlsicM8gwq9pxe4atWq7heHzS7vb0NQDqdplAoYLPZJPCJg8vrhUOH1IkbFouq4C0uqqpeuayqfsPD6rGvvKKWdhcXd6uBQtxkfX2d559/npdffpmXX34ZwBhI/KUvfYne3l56enrQNE1WRoRBnkHFntO7dZ1OJ/39/VQqFZaXl40jdPx+P0ePHpVuXXFwaZoKfcEgdHdDMrm7dLu4qP5sYEA91mZTe/wWF1XTRrGounXlfN3fqNFoGD8kXrp0iWQySTabpV6vMzAwgN/vJxQK4Xa78fv9uFwuHA7Hgfnesr29zfb2NufPn+fJJ59kdXUVgP7+fs6cOcPx48cZGRnB7/djNpsl7IlbSOAT+4KmabhcLmMv3+bmJrVajYWFBex2O0NDQwSDwb2+TSF+O3rgC4Wgp0cFt1RKBbuFBdWtOzSkwp7drpZ05+dVpa9Y3D2STbyjRqNBPB5ne3ubf/iHf2B6epqVlRXK5TIf/ehHicVijI+PE41GicViRKNRzGbzgQp8ly9f5oUXXuBXv/qVsZcvFovxe7/3e8RiMcbGxmTOnnhLEvjEntN/CrXZbMRiMWq1GhcvXqRUKrGysoLdbqcky1riINPDmsulmjfMZhX0ymV1bTTUXr2ODlUFTKdV6Mvn1Z6+zU0Ih1WXr3iTVqtFrVYjm83y1FNPsbCwwI0bN9jc3CSfz1Or1ZidnSWZTLK6uorH4yEUCuHxePD7/Xg8HjweD26323hxuVx4vV5cLhd+vx+LxYLVar3jVbNWq2WcMX7hwgWeeOIJpqamaLVadHd3MzY2xtmzZxkbGzPOx5XKnngrEvjEvmG32zl06BCapuFwOMhms8zOzlKpVCgUCnt9e0K8f14vHD2qAt+LL6r9edevq8D35S+rCl9np1ruXVtTTR6rqyrsud0S+N5Gs9mkUqmQTCZ59NFHuXLlCvF4nEqlYjzmypUrxq9vDkQ+nw+Xy0Vvby/d3d10dXXR09NDZ2cnfX19dHV1Gd+T9uqYx+3tbebm5njyySf5wQ9+QKPRoNVqEYvF+MIXvsCRI0c4efKkVPbEO5LAJ/YNq9VKb28vlUoFx+tPbPrxQLlcjnK5jNVqlW9q4uByudTSbSajQl+lAisrqlu3UlGv6+1Vy7g7O7uDmAMB9XbiFvoZsoVCgRdffJGlpSU2NzcpFApomobVaqWvrw+Px2MMKda/l+jXer1OoVBge3ubSqVCKpVifX0dn89HMBjE5/MRiURwuVwEg0EcDgderxe73Y7f78dmsxlXvSvWZDK97ypbq9WiUChQLBa5cuUKzz33HDMzMzQaDSKRCL29vZw8eZITJ07Q3d0tlT3xG0ngE/uG3W5nfHwcq9WKx+MBYHV1lWKxSDKZJJ/P4/P5JPCJg8vngxMnVLOGpqkK3tSU6twtFlUVb3xc/dnUlHrczIxq2jh9Wu31E7doNBqkUin+4R/+gRs3bjA/P08+nzeWaj/84Q/T399Ps9mk2WyysLBAPB5naWmJnZ0dCoUChUKBbDZ7S2DSf20ymTCbzfh8Prq6ugiFQgwPDxMMBhkZGTGufr8fu92O1Wq9bRMFkskkW1tbPPHEE3zve9+jUqnQbDaJxWI88sgjnDlzho997GMS9sS7IoFP7Bsmkwmr1YrT6SQSiRCNRonH49Trdba3t1lbW8Nms2Gz2fb6VoX47ejNG36/2qvXbKpj1UolVdGr1XZP3NCPWtvcVEu95fLuUWt3+ZO73qxQKBSYnJxkeXmZhYUFtra2jHD2oQ99iO7ubs6ePUs0GjWqgb29veRyOeLxONlslnw+T7FYpFgsUi6XjQBYKpXI5/NUKhWKxaKxZFytVmk2m7jdbhKJBG63m5mZGZxOJ9FoFJvNhsfjwWq13lIBtFqteL1erFYrLpfLCIVvDGqtVotKpUK1WuXatWtcvnzZ2Nri9Xrp6enh8OHDnDx5koGBAcxms8zaE++KBD6xb5hMJhwOBz6fj5GREWq1Grlcjmq1yszMDA6Hg3A4jM/n2+tbFeK3Y7Wq/XjRKPT3qyXcpSVV6ZuZUR28Y2MqELpcKgBOTamO3lxur+9+X2m1WqRSKX70ox8xNzfHK6+8Qj6fJxAIEIlE+Pa3v82pU6eIRCI4bzqpRA+L+hJvNpulUCiwtrbG1tYWq6urrKyssLa2xuLiIvF4nNXV1Vv2Es/NzQEYS7f6i6Zp2O12uru78fl8TExMEAgEOHz4MH6/n+HhYXw+H729ve9YBcxms2QyGf75n/+Zv/u7vyObzVKpVBgdHeWee+7h4Ycf5otf/CIWi0Uqe+Jdk8An9g39G5fFYqGrq4tsNsvVq1cpFArs7OywtrZGuVze47sU4n3Qn5wdDhXuajW1h69WU0epWa3Q1UUzHKYajVLP5Ui5XNRsNryFAtZUCrfHg/Uur3KXSiUWFxdZWlpiYWGBtbU1Go0GTqeTkydP0tfXR09PDz6fD7vd/rbhqtVq4XK5sFgs1Go1bDabsVevr6+PwcFBstksOzs7xr6/arVKoVAwrrVajXw+T6PRMJZcU6kU5XIZu92O2+2mUCjgdrtZXFzE5XLR1dWFy+UyKoFutxubzWZUIRcWFtjc3GRubo58Po/dbsfj8TA+Ps7Zs2cZHByUocriPZPAJ/Ydu93O0aNHcTqdPP/882QyGaampigUCjzyyCN7fXtCvH9eL5w8qfbsXbmi9u+99pq6/s7v0IxEyBw/Ts7p5EKpRM7hYGxnh8DiIoPDw/jv8sCnd+POz8/z7LPPkslkcDgcRKNR/vW//tccPXqU0dFRPB7PbwxFLpcLp9OJ3+83qn43vzQaDer1OqlUirW1NZLJJPPz86RSKebn58lkMkYwW19fp1qtsrm5iclkYmlpydgDCBjLrz6fD4fDYewFHBoaIhAIGH/XCy+8wNTUFJlMhnw+z9jYGMPDw3zmM5/hD/7gD/ZkPIw4+CTwiX1H0zSi0SjFYtH4qTeVSuFwOCgWi9RqNSwWi+xbuU30z28mk8FqtRr7KN1u9y3LVeL2adnt0N1NM5+nGgxSa7VIlUqYi0WirRZNTWPV7SbudjOZTJItl7FubdHp99PV24t/rz+APVIqldja2mJpaYmZmRlWVlaoVqvGD4l9fX309fURDoex2Wy/8XvEzY0Zb0dv9mi1WtTrdZxOJ2az2WgMKRQK9Pb2UiwW2d7eplqtUiwWqdfrt1xvrgQWCgXK5bIxJ7Ber+PxeGg0GjQaDTY2Nshms0YFMhaLcebMGQYGBrDb7cbHJV+X4r2QwCf2HZvNxpEjR/D7/fh8PlqtFgsLCySTSeLxOIVCAZfLJc0bt9H169d59dVXCQaDBINBBgYGGBkZMUZbiNvM66V16hQ1r5fEyy+TymZ5OZ/Hmkzyu7UaJpuNpzs6mEul+KdXXiGTzZK6cIHRXI6h0VE6Ozv3+iPYE8lkkp///OfMzs7yi1/8gnQ6jclkoquri29/+9uMj49z8uRJfD7fbfuB0GQyYbFY8Pl8eL1ems0mR48eNZZf9Wuj0TCaP5aWlsjn88zPz5PL5VhYWCCTyXDjxg0ymQyJRIJ8Pk8ulzMqgDeHt3q9TrPZJBwOEwgE+OQnP8m3vvUtnE6nTCkQvzUJfGLfMZvNOBwOXC4XPp8Pn89n7JlJp9MkEgk0TZPA91vSKxXNZpPt7W3S6TRXr17l+vXreL1efD4f6XSacrlMNBplQD/jVdw+mgY+H0WPh2vATr3O1XQat9vN2XQaB+AMBHB3dNCwWCjWamzH47i93rtyH2ulUiGTybC2tsb09DSLi4sUi0XMZjNDQ0P09/fT399PV1cXdrv9toaiN1YB3+59NxoN7HY7TqeTWq1GoVDAZDIZ+/f0hpJcLmfsCSyVStRqNYrFItVq1ZgN6HA4sNlsDA0NMTAwQH9/Px6P5207e4V4NyTwiX3HZDIZxxmNjo5SKpW4du2a0a3r8/k4d+6cMatPvHfFYpFCocDPfvYznn/+eSYnJ5menjYqDUNDQxw+fJhPfepTfOtb35InmNvNbsfU28tGMsl3y2VWk0mW1teJplIcmpykr7+fsbExQqEQP/3pT1lbW+PatWvE43G+8Y1v7PXd33HpdJoXXniBa9eu8bd/+7ek02kqlQrd3d388R//MSMjI5w9e5ZAIHDbZuC9V/oPqnqDRavVuqUSqFcB9fN+C4UCCwsLpNNpbty4wc7ODhcuXGBlZcVYlv7Sl77EQw89RHd394E571fsXxL4xL5z84iDUChER0cHNpvNmIK/tbV1V1Y5fls3j6HIZrOUy2WWl5eJx+PMzMywvLxMIpGgXC4bG9X1URTxeNzYSykbxW8fk8kEFgsmmw2L348pk6HUbJIrl4knErjcbnp6emg2mzidTjRNo1Qq3TI3zmaz7Vm4uVP0Stn29jY3btxgYWGBXC5Hs9mkp6eHgYEBYrEYvb29OJ3OPd1+8MZBzW+n2WxiNpsplUrU63X8fr+xfNtoNOjs7KSzs5NgMMjg4CDRaBS3233L3yHEb6O9v1uIA81ms3H8+HFcLhfXrl0jnU5z/fp1SqUSZ86c2evbO1D0bsOLFy8yNzfHz3/+cy5fvkwmkzGWnux2O7VajXq9zs7ODtlslsOHD7OyskIwGLxr9419kDweD6dPnyYQCDA/P0+pVOLSpUtkMhlOnjxJd3c30WgUv99vjARZWVlhcXGR3t5e/P72bt/QtxtcunSJ//7f/zvpdJpCoUBXVxdf//rXGRkZ4aGHHiIYDB6YLR4mk8nYnxwOh2m1Wpw7d45ms0m1WqXRaBhNaU6n02jSkLAn3i8JfGLfMpvNhMNhstms0a2byWSM/S+NRkO+Eb4Dfa+evoSUz+eZmZlhdnaWlZUVNjc3MZvN2Gw2wuEwwWCQdDpNJpOhUqlQLpdJJBIsLCxQr9eJRqPG+5bP+e1htVqJRCJkMhk0TaNWqxGPx/H5fEYI9/l8+P1+o5tT38caiUT2+vY/MPV6nWq1SjKZZHp62mjaqlardHR00NPTw/DwMAMDA3g8HuPs7YNAbwIBjArtzYOhhfigSOAT+5bNZuPYsWOEw2FjRtbc3Bzb29tsb29TKpWMsyvFmzWbTZLJJJlMhh/96EdMTk4yOTnJ5uamsUl8bGyM3t5ePv3pT/Pggw/y8ssv89JLL3H9+nUuXbrE5cuX+W//7b/xyCOPGOccS9i7fTweD2fOnMHtdmO328nlcrdUXn0+H0eOHAEgl8uRTqeZmppC0zQikUjbhr58Ps/y8jIvvfQS/+k//SdSqRSFQoHOzk4++9nPMjo6yuc+9zlCoZCEJSHeJQl8Yt8ym8243W58Ph9utxuHw2Hs6cnn8+TzeSwWiwS+1+l79ZrNpnEG6OLiIolEgrm5ORYWFoylWq/XSygUIhaLMTQ0xMjICENDQ+zs7BgvFouFYrHI6uoqm5ubpFIp3G63NMvcRpqmEQgECAQCxtJdoVAgm80aoVw/KsxmsxmnOLTrPla9qSGdTrOwsMDy8jKbm5tUKhU8Hg8dHR0MDw8Ti8UIBoPyf1GI90ACn9i3TCYTXq+Xer3O0NCQsbxYqVSYnZ3l0qVLHD9+nN7e3r2+1X2j2WxSLBZ58sknWV5e5mc/+xlLS0vE43FKpRI2m41QKMRnP/tZTp06xYkTJxgZGcHr9eJyuXjggQeYmJjAZrMxOTlJuVxmenqacDjMP/3TPzEyMsJHPvKRtm8WuFPsdjsDAwMUi0W6u7upVCokk0kSiQSzs7O0Wi1GR0cJBoM89dRTRrduIpHgU5/61F7f/m1XKpVIJBI8//zzfPe73yUej5PL5QiHw9x///0cPnyYr3/964RCIVwu117frhAHinzXFvuWvtfFarXi9/sJBoOsrKxQKpVu2ct3t1N79ZrU6w3S6STZbIaFhQUWFxeZn59nZWUFi8WCxWIhEong9/sZGRlhdHSUwcFB+vr6jPfj9Xqx2+1Gp+DOzg6pVIpUKsXi4iIej4darfaWw2LFe2c2m43ZbX6/H6/XSyKRoFarkU6nSafTRhVLrwDm83msVqsxw60dTp3Rx5bkcjlWV1dZXl5meXmZUqlkfP0PDg4Si8WIRCJ4vd69vmUhDhwJfGLf0zSNY8eOoWkay8vLxsT6ZrPJ+Pg4IyMje32Le6pWa7K+nmN7e4fvf///x9LSHNevXzcaMFqtFidOnKCvr4/PfOYzTExM0N3djd/vf9P+J6vViqZpnD17llarxZNPPsmPfvQj5ubm+P73v8/v/M7vcObMGfx+P6FQSALfbeJyuTh16hQ+n4+trS0qlQqXL18mn8/z+c9/noGBASKRCG63m0wmQ6lUYnV1lZWVlbYIQJVKhXw+z7PPPsv/+B//g83NTRKJBH6/nyNHjnDixAm+853vEA6HpbInxG9JAp/Y98xmM6FQiM7OTux2u9Gtqzdu6HvX7pbw8fqHS7MJ5TIUi7C+3mR9vcrs7DKLi7Osr69TKpVwuVy4XC76+/sZGhri0KFDTExM4HQ63zTG4uYzc0OhEKOjo0xNTRknB2xsbLC5ucn29jatVotgMHjXfe4/KJqm0dHRYXTrVioVI/BomobH48Hj8eB2u40O6mw2SyaTOdCjWfS5j4VCga2tLVZWVpienqZQKAAqCA8MDNxy2sRBr2YKsVck8Il9z2q1cuTIEcLhMP/wD/9As9lkbm6OeDzO1tYW1WoVTdPumjMmWy2o1yGVgiefhNVVM//8zx5SKS/1uguTyUUwGKajw8SXvvQlRkZGOHXqFF1dXYTDYdxu92980uzs7MTn87Gzs8P169dZW1vj+vXrTE1N8Rd/8Rfce++9fOc73zlQ4zD2M5fLxb333ovX6+UnP/kJ2WyW1157jVQqxR/+4R8SjUY5dOgQpVKJ8+fPk0wmjVNnnE4n4XB4rz+E34o+fuWFF17gBz/4AQsLC2xtbeFyuRgZGeH06dP82Z/9GZFIBJfLJWFPiPdBAp/Y90wmE4FAgHq9jsPhQNM0isWi0Y1aKpXuikPFm01oNFTYy+VgZwfm5mBxESYnNfJ5G7GYF4cjQDgMTqfG4cOHmZiYYHx8nI6Ojnf9dzkcDhwOB52dncRiMWOvZDabZXp6mo6ODkqlkjHHT7w/mqYRDodJJpNG13k6ncblchkd1w6HA6/Xi6ZptFotUqkUm5ubB7LKrd9vuVwmk8mwurrK5OQkqVSKWq2G3W6nu7ub/tePmNPPkT0oH58Q+5EEPrHvmc1mfD4fgDFGRJ8ld/XqVSKRCCdOnGBwcHBvb/QDVirB0hKsrsKjj8LWFly/Dvk8pNMm7HY/R478IX19OT70IY3OTiuxWAyv12sczfReTUxM8O1vf5vHH3+cq1evUqvVuHbtGg6HgyeffJLe3l7uvfdeGY3zPtntdgYHB42jtXK5HPl8nvX1dR577DGuXLnCxYsXWVlZoVAo0Gw2uXr1KslkkrNnz3L06FGjMWe/08+WbTQaPP/88/z0pz9lamqKhYUF7HY7vb29nDt3ju985zt0dXXh8/kOxMclxH4ngU/seyaTCZvNhsPhwOPxGEuN+hFgS0tL9Pf309nZaXSO3txFenNV4CBVCG7eq1evq2C3ualC34ULKvBtbUG9bsLhAI/HSlfXCAMDDU6edNPba8Vms72vJ8tAIMD4+DjXr1/H6/WSzWZJJBLs7OywuLiIxWKhXq9jsVje9LkW757ZbMbj8eD1evF4PLhcLmMW3+LiIvl8nu3tbTKZDLVazajwtVotEokEmUzGaLh549fAzb/fy68FvaoHUK1WKZfLrK6ucunSJTY2NigWizgcDjo6Oujv7+fEiRN4PB4Z9i3EbSKBTxwY+tJuR0cHq6urNJtNnn32Waamprh+/Tqjo6NEo1GCwSAdHR3GCR3BYPBAjhDRg97GBjz3HCwvw69+BcmkWsZtNqGjA8Jh+MIXoLfXwunTfkKhFl1dFmw28/ve82S1WvF4PBw9epRvfvObTE5O8tOf/pTV1VV++MMfcu+993LPPfcQDAbxer0H7nO83zidTo4dO4bD4SCbzZLL5XjyySex2+2k02mjYUNvXCoWi/yX//Jf+Lu/+ztjELF+TF40GqWjo4OOjg6i0Sgej4dgMLjn/0atVouXX36ZZ555hvPnz3P9+nUAgsEg999/P9/85jfp7+8nEAjIvEchbiP5ahIHhslkwuVy4fP5sFqttFot1tbW2Nrawmazkc1mGRgYoLOzk1KpRKPRoNVqGVUufQ/QW73o7//mv2uvtFoqzNVqqgM3Hodr19R+vZdeUku7ZjM4HBAMQk8PnD0LsZiJ0VE7v+Xq7Vu6eX7f8ePHyeVyaJpGoVBgamqKQCBAJpPBZrPJqQfvg/7/TT8yLZvNomkajUaD1dXVN/0/tVgs1Go1qtUqly5dwmQyGTMWe3t7iUajDAwM0NfXR6lUwmQyUa/XjVl+b6z6/aavh9tFP9t5dXWVCxcuMDc3RzKZxOfzEQ6HGRgY4L777jPmQe51OBWinUjgEweGpmk88MAD9PT0sLW1ZVQ8qtUq09PTrK2t4XK5cDgcxtXpdBohMRQKEQgE6OzsxOv1EolE8Hg8RgdgKBTaF12A6bSq5s3Pq4re9vbuXr1aTYW8M2eguxs++UmIRuHQIXC7wW7/YO4pEolw7tw5Go0GL7/8MvF4nKWlJRYXF/n+97/P2NgY3/jGNyT0vU+aphGNRsnlcrc0w5hMJjo7O3G5XASDQex2O4lEgmKxSCqVolgskk6nKRQKpFIp7HY7ly5dwul04nQ6cbvduFwuvF4vfr+fSCSCz+czKn9dXV243W66urqw2Wy43e4PJGxdvHiRK1eu8OSTT/LKK69QLpdxuVzcd999fPGLX2R8fJxIJCJ7QoX4AEjgEweGxWIhFovhdruJRqO43W5arRblctk4DULfJ6TP99KrGR0dHXR3d9PZ2cnw8LBRTdBDXq1Ww+sNYLGYABP6c53JxC2/1v2m50J9u9LNV7P51rd7q8e0WqoDd3VVVfUefxwyGbWMC2CzgdcL4+MwMgIf+5ha0tU09f4/KPocuJWVFQYGBmi1WszPz5NMJrl48SL1ep1KpYLL5ZK9fL+Fm7ts9R9Sbq7C6Wfu+v1+enp6cLlc2Gw20uk01WqVWq1Go9Ewzpq++X3qXwv6PthIJEIsFiMcDjM0NEQoFKJSqRAMBnG5XDidTqxW65v2wP621XD97282m6ysrPDqq69y48YN1tbWcDgcuN1uYrEYDz74oDE2SP7/CHH7SeATB4bZbDaeEP70T/+Uz33uc+zs7JDL5YjH40ZDQSaTIZlMGhWPfD5PJpOhWq2yvb3N4uIidrsdt9ttXMPhI0xM/DGaFgA6cTgsdHaCywVdXera2akqaHY7vJs+iGQSCgU1L69QgFgMbj72t1CAbFYt0ebzqpK3sKCaMl55RS3lbm2pMNffr5ZuH3lE3cfJkxAIgN+v7uVOPT/GYjG+8Y1vcP78eW7cuEGtVuPq1as0m00uXLhAT08PY2Nj2D+oUmObqtfrJBIJ1tbW+MUvfsHCwgLpdBqr1cqxY8fo7Ow0TtxwuVxYLBaKxSLVapVsNku5XCaRSJDL5Ugmk2SzWVKplHHaSiqVolQqGc0fhUIBh8PB9evXsdvteDwe7Ha7sZQaDAaNsTxOp5NoNGpcXS4Xvb29OBwO7Hb7u2oKunLlCvPz8zz22GM8/fTTpFIprFYr9913Hw8//LBxEozMdRTigyOBTxwYJpPJOG3gox/9KLVajfX1ddLpNEtLS2xvb7OyssLm5iZra2uYTCaazSaFQoFqtUqlUiGdTrO+vm68T70K0tGRYH39d9E0CyZTBLfbwuioClWVigpWbreqwL3x+e2tKoCtlgp0ySSsrUEiod5HT8/uY8tlVb3LZtWfz83B+fNqKff559U+PpNJvV1Hh6rofepTagk3FoO9WPUKh8Pcd999FAoFXC4X6XSajY0NPB4PCwsLAAwNDRnLkVKpeWf6/796vU4mk2Fra4vJyUkWFxcpl8vY7XYGBgYYGRnh4Ycf5tChQ296e73Ct7q6SjweN/a1rq+vs7GxwdbWFiaTyQiChUKBQqFwS9fszb+22WwEAgE8Hg8jIyP4fL5brn6/3xiTdHPYe+O/tclkuqWyd/HiRSYnJ7lx4wZWqxWr1crQ0BAf//jH6e7ulqP6hPiASeATB5I+fiIajRIIBAiHw5RKJXK5nFHJKBaL5PN54yWdTpPP50kmk+RyOaM6uLW1hdUaIJ3upF4PkUqZsVhUALPZVOiz2VTw0q92O0Qi4HSqCqDbrSpvbjevDz1Wg5FXV+GZZ+DqVVXJs9shFFL78PJ5FQaTSTVuZXFR7d1LpVSYi0Tg1Cno64OPfET9fnhYve+92mpotVrx+XwMDw/z2c9+loWFBZ588kni8Tg//vGPOXz4sLEPy+l0yhP4b9BoNCgUCmxsbPA3f/M3LC4usrGxQaPRYHh4mGg0yhe+8AWjA/2t6F8LnZ2d+P1+urq6KBaLFAoFisUipVKJQqFANpslmUySz+dJJBIUCgWSySSFQsH4/fb2No1Gg3w+T7lcplqtYrPZmJ+fx2q14vf7sdlshMNhY4SK0+m85epyuQgEAtjtdjY3N0mlUvzyl7/kwoULRgPKyZMnOXPmDA888AAjIyNyPq4Qd4AEPnHg6F2KFouFQCAA8LZPhnpTx87ODuvr68TjcZaXl9ne3mZ2dpadnR3y+TwWi4dCIUip5GF11Uy9/tZ/t8WiwprTqSpugQAcPqxC3Pi4Cnv6km8mo0Lfa6+psSrj43DkiAqNwaAKgImEeszGhlq+TSRUZVDTVMA7e1a93ec+p7py37gP8E7TNA1N0+jq6uLs2bM4HA6effZZstksL730krF8ri8N7ocmmP1Ir6jpgW9ra4snnniC5eVlUqkUmqbR09NDLBbjvvvu49ChQ2/5ubz5ayEYDL7j31koFIwfdJaWlkgkEiwtLZFKpVhYWDDCYLlcJpfL0Wq1yGazb/m+zGazcY9er5fh4WECgQCDg4MEg0F6e3vxer3GsXwvv/wyFy9eNPbUjoyM8MgjjzA2NkZXV5f8YCDEHSCBT7Q1fRRLKBTCbrfT2dnJwMCA0dVYLBZJJpM0Gr1Uq17yeSvz87vjUEolFcjKZRXGGg31Z5WKqgDa7bC+rsJYKKSCYDi8W/HzeGBwEKpVVcn76U/hE59Qe/maTXWPJpMKcqOjcPSo+jtqNfX2p06p92uz7W3Qe6NgMMjZs2ex2Ww89dRTJJNJEokEW1tb/OpXv2JoaIhHHnnEWPoTt2o2m8aWhEcffZTFxUVWV1cpFot0dnYSDof54he/aFT5bsccSZvNhtfrxWKx4HK5KJfLjI2NUalUyGQylEolY69fPB5/y+vOzg6VSoVUKkWj0SCVShnVdIfDwfT0tDEg3WazkUgkyOfzrK2tAXDs2DEOHTrEQw89xLFjx35jSBVC3D4S+ERb06sf+r6kt6MHu0wGZmbUaJSZGfX76Wl1LRRU8CuXVVjL5d76fTmdKgB+7Wtw+rTat2ezqeXaGzdUsGs0drtzQYW5gQG49171WLt9NzTuxyKZz+fj+PHj1Go1BgcH0TSNzc1N4vE4L7zwAolEgg9/+MN4vV5A9vLpbu6crVarbG1t8fOf/5zV1VW2t7cxm83EYjEGBwd5+OGHGR0dvW2VUn3fnNvtJhKJvOW9tVotisUi6+vrxrnJmUyGmZkZMpmM8Xt9uTibzdJqtYjH4+/qHsbGxnjkkUc4ffo0Y2Nj8v9CiDtIAp8QqCVUv18FNatVhbrBQXVNJnevlYraY1ep3Pr6cllVBMtlFdZsNhX8TCZ1DQRUwPP7VXB8/nl1vZm+H1DT1JLwfqvqvZVoNMpnPvMZpqammJ+fN87aLZVK3Lhxg1KpRHd3t3Ttvq7VatFoNNjY2OCXv/wlc3NzLC0tkcvljL2oX/nKVxgcHCQajd7xY8X0YwzD4TAejweHw0GlUmFkZIRKpUIikTAqfHplsFKpEI/HKRaLxnVjY4NcLkej0aDZbBp7be+55x7OnDlDd3f3HfuYhBCKBD4hUCFPX318i+IHsHv6xeqqqu7Nz6vK39ycqghOT+82XFittwY+k2l3tEuxqE7M8PtVENQ5naoD9+Zizn4NfHoHZkdHB5/85Cfp6Ojg7//+79ne3mZqaopCocDMzAytVotwOCyB73WtVot6vc7GxgaPPvooa2trrKysYDKZGBgYIBaL8YUvfIGhoSHcbrdxRvGdoP+bWq1WQqEQwNsGs3q9Tr1eZ319nVwux40bN0gkEkxPT7Ozs2OcAlKtVmk0GnR2djI4OMjx48c5deqU8fcJIe4cCXxCvO6dnn9aLfXnetOGy7VbCeztVddTp3aPPTOZbh2boi/ZRiKqiWNyUnXfapqqFr7b+9hP9IHAPp+P7u5uzp07x8rKCpcuXSKfz/PMM8+wvr7O0NAQdrvd6Ca9G+lDtROJMpcubTA1tcLKyjqpVMI45eXzn/88Q0NDdHR0GMu4dzoUvZu/Tx9org+D1odEF4tF+vv7KRQKnD59mlwuR71ep9ls0tnZSTAYlGVcIfaQBD4h3iWTSQW014sfvN2qVLOp9ug9/7yq/umGh1UonJqCy5fVY0KhNwe+g0R/0u/v7+ehhx5ienqaqakpstksv/zlL5mdneWzn/0soVDoXQ3obWetFmxvl/jVr5aZn19ifn6JRqNEKBQiFovx9a9/nYGBAcLhMJq2v7816922eiWwq6vrLR+n7wuU01eE2Hv7+7uKEPvEu32u0iuBbzU+xWxWgXFwED70IRX0LlxQS8nh8G2/5TtCfxJ3u90cP34cm81GT08POzs7lEolEokEr776KrlcjpMnT+L3+/f4jvfGzo6q6k5PO7h0qY9Mpkwk8ml8vjr33ddBLNZjnOm8F5W99+Ld3pse9PS32c8fkxB3Awl8QtxmN5+/ezOLRQW+iQm13Pvzn8M//ZOazffAA3f+Pm8nv9/Phz70IUKhED/+8Y8xmUzMzs6ysbHBk08+ycrKCkNDQ3dt4Ftbg3/8R5ibc/PUU2O43SGOHTMzOmriW9/qIhp109vbi3Uvjk/5gEnQE2J/kMAnxG30bp7b/H61n6+nRzVpvD655MAzm834fD7OnTtHR0cHGxsbVCoVZmdnqVarrK2t4XA4CAQCxtFr7S6RUON4Ll+Ga9dge1v9B/H5HNxzTz9DQyYiER9+/97s2fsgtdPHIkQ7kMAnxB1kMqmQF4nszuRrl9mzJpOJjo4OvvKVrzA9Pc0zzzzDysoKFy5cYGlpiU9/+tOYzWYOHz581wS+tTVVxZ2cVEfsNRqqutvZ6eaTn5ygrw8GBkzcJZ8OIcQeksAnxAdAD3atlurgrdd3mz30Jd+BAXjwQRUA7Ha1x+/qVTWqpa9vfw5cfjt6NUfTNILBINFolPHxcex2O4uLi5TLZa5cuUK5XKa7uxuPx9N2Fa2b6cfqTU2pruyVFdXMEwio01QmJkz09JgIhdRSf5t+GoQQ+4gEPiE+ACYTHDqkzsHVT9R4Y4C791645x41w29rC5aW1NFrR46o5d6DFPh0VquVrq4uzGYzjzzyCLOzs8TjcVKpFD/5yU/o6enh1KlTxlDhdu3c3dhQXdovvgg/+YkK/K2WCvnf/jbEYurf2W6XsCeEuDMk8AnxAXi7xo03PsZshs1NFQzW1tTwZk1T5/N6PKoidJCCn96N6XQ6GR0dxWKxEAqFqFQqxrnF8/PzeL1eYrGYcfRauygUIJtVQ7kvXlTXel3t0xwaUtW9WEwN4Na0g/VvK4Q42CTwCbFHGg11cseLL8K///cqLORyqto3MgL9/eos3oMYCrxeL5/4xCdYXl7mX/7lX2g0GqytrZHP53niiSdYXV3lq1/9atsFvu1tuH4dfvUr+Ou/hmpVLeUODsK//tdqFuO5c7tL+EIIcadI4BNij+gVPo9HndaxuanO5U0k1F6+RgOOHVOPPWj7vPQzWT0eD+Pj4wAkEglKpRLLy8sAzM/Po2kafr8fu92OzWY7sEu85bJ6WV5Wlb2FBXXqitutgvvoqAp7PT1qz+YB/TCFEAeYBD4h9ojFol4mJuD3f19V+paW1Okcf/VX8LGPwUc+ogYzu90HK/ABxnLu7//+77O4uMjMzAwzMzM899xzXLp0CbfbzeHDhzlz5gw9PT2EQiFcLtde3/ZvJZlUS/KPPw7/43+osFevqz17n/ucWsp9+GFV2dvnh2gIIdqUfOsRYo/oAc7nU/u7lpfVnr1mU+0D29lRlaJoVFWHDtIS4M0nLFitVqNBw2w202w2qdVqLC8vG+eyrqysGIHPbrdjtVrf8qqfMbsfOnxbLbUkX6vB6qrqxl1cVMvyNht0danq3tiYquA6HBL2hBB7R779CLHHBgbUubzNJly6pJZ2Z2bUXrD/7/+DEyfgW986mGGh2WxSLBYpFotomobD4TBC269//WuazSaapmGxWPD7/bhcLvr6+giHw/T09NDR0UF3dzfRaJSenh56e3txOBw4nc69/tAANX4lkVCnpvz1X6ugXqmof9Nz5+D+++ErX1FhT5ZxhRB76QA+hQjRXjRNvXR0qGoQwOysWhZcXlbz+9JpFQhdrv1d6Wu1WtTrdWq1Gjs7O2QyGaanp1ldXaVUKtFqtYyA12g0qNfrlEolGo0G1WrVGMicz+cpl8ukUikymQw7Ozvs7OywtbWFy+XC6/VitVqx2WxYrS4cjgCaZsFq1dA0NchYLwB+kIXAZlMt3ZZKqrIHqkrb3Q2HD6sKn9t9MMO6EKK9yLchIfaJiQn40z+FX/4SLlyAVAqeekoFiQ9/WG34P3qUfX0qQ6PRIJfLsbW1xfe+9z2Wl5d57rnnSKVS5PN5Wq0W4XAYt9tNLBbDarWyvLxMJpOhWCxSKBTI5XKYzWZjCdhisWCxWNA0zRjs3NHRQUdHB729vUSjRxkZeQSfz0t3d4j/f3v38lv1eSZw/DnHPr77+BIMBBtDzCUhKhRELkqpJqmqJqloNtWMuqi6rjSb2c0/MNv5B7qcRTdR0820ibKoommaNFRK2kAhE4ohDhh8ITa2j8GXc5nFm2NDmrSZ3rBfPh/pyAQfw+FYsr55f7/3eXt7CzEysnmP5N9To5Gir1hM35ehoTQ0+7nn0qpsZ6eVPWBrEHxwnzVXoDo70/16u3alx8JCxM2bKfyuXEnPOXw4rRZ9mTl//0jVanXj0u3HH38c169fj8uXL8fk5GTMzs7GnTt3oq+vLzo7O+PAgQPR19cX/f39USqVoqenJxYXF2NpaSlWVlZifX09qtVqrK2tbawW3rlzJ6rVatRqtY0wrFQqsbq6GsvLQ9HSknY737qVZt4tLGyeYNLS8scf29pSpJVKf7wS2LyHcnU1rdzVaink7p4gs7ycPrewEHH7dvq7Dx5M37+9e9Ml3YGBrb0aCzxYCo1G8xwA4H6q11NcnD0b8dOfpmO5/vu/UwiOjUWcOBHxH/+RLvFutTlu8/Pz8d5778WVK1fixz/+cczOzsbk5GSsr69HvV6P7u7uOH36dOzbty9efPHF2LNnT7S2tkaxWIz19fWo1Wobq3zXr1+Pubm5uHr1aszMzMTk5GRMTU3F7OxszMzMRL1ej0ajsbHq19//L7Fnz3/GykpnzM11RLFYiPb2zYAul9Ncw76+9LG3Nw0/7u5Ol17b29O/oRl8q6sRr72WhiZfuJAi8l//NeLZZzdD+9e/jjh3LgVja2vEQw+lS/Ld3env6+m594zkrRTnwIPJCh9sEcVievT1pV27CwvpZv96PQ1jnppKO3eLxbTidD+Dr16vR71ej7W1tVhcXIzZ2dkYHx+PK1euxMTERMzPz8fa2lq0tLTErl27YmBgIA4cOBD79u2L0dHRjePXmjttG41GLC4uxp07d6KzszMGBgaira0tyuVydHZ2Rnd3d5TL5ejt7Y3V1dVYXV2NarUa1Wo1WlraY3W1NSqVlpidTe9Xo5Heu6WlFGAR6WOjkYJvfT3F2Z076XltbZsrf+vraVV1bi695zdvpsfCQrqHsr19c3WvoyM9urvTql5HR3pO8zKu0AO2CsEHW8zISMRLL6WVvDNnUmzcuJGOXXv55XTp8J//eTNk7of19fVYWlqK8fHxeOWVV2JycjLOnDkTlUol5ufno1QqxYEDB+Lhhx+O73//+zEyMhIHDx6Mnp6e6OnpieLn1GpPT090dXVFuVyOWq0Wx48f37iku76+Hmtra7G2thZzc3MxMzMTc3NzMTk5GYuLx2Jmpj0++aQlisWISiW9Z3fupNl4U1NpXErzkm7zfrvW1rQK19mZVvzK5fTednenr4/YvEfv/fdTCD71VHrOZ3V2phW+5jBtoQdsNYIPtpi2tnSJcOfOtFGj0UjhUqmkcGlvb2ysTKV70P7+ddG886Narcbq6mpUKpW4ceNGTExMxMWLF+PGjRsxOTkZtVoturu7o7e3N0ZHR2Pv3r1x6NChGB4ejl27dkV78/rpZxQKhY3NGaVS6XP//uaq4tzcXAwODsbNmzejq6sr5ud3R1tbS3R1FaJeT6t6HR1p9+z6+uZO2lot3ZtXr6ffLxTSUWgdHekybl9fej+bsxALhRRy3d3p665dSxtrarX0Pblbsbh5byXAViT4YIspFNJq1IEDadfuu++mMS0LC+mM1mvXGvFP/7QeIyOFGB0txRc01N/F1NRUvPvuu3Hx4sX4+c9/HvPz8xuhVyqVYs+ePXH69OnYu3dvfOMb34iBgYHYuXPnp+NT/jjkvqxCobAxcHlgYCB6enpidHQ0vvKVr0S12h5ray1RraZwW1tLcby8nFZGK5UUa3d/vHw5fb656WJ5efNS7eBguqReLkc88USKuXPnIj78MK0EjoykY9QAthPBB1tMc5Wouztt1piZaURvb0SjUY+lpfWYm1uPqamlaG9viT17BqOtrfXTr/vbLy81V9WaO2Wnp6fjypUr8Yc//CHOnz8fKysrUa1Wo62tbWNY8uHDh2N0dDQOHz4cvZ9ubf1bvLbmn9HW1rYxr+/zVKspyJaX00rp0lJ6L5snYDR34FYqaVVubS19TaGQVu+q1bSCVyikVb/m0OSVlfS1c3OCD9h+7NKFLaq5YvW//1uP//qvaszM3Irx8bNRKNyIoaH/iUceGYh///d/i4cf3hWtra1/l+CrVCqxsLAQZ8+ejddffz2uXbsWZ8+ejUqlErOzs9Hb2xuHDh2K/fv3x3e/+93YuXNnHDhwILq6uqK/vz9aPt298I88Bq15312tlt6/ZgDWapsfb99OoTc7m3599Wp6brmcInB+Pn1+z56047ZSSZ+fm0sh2dWVLvc2N22cOJFWA13SBbYqK3ywRTVP4BgcjBgba0RHx0rMzk7G8vJEXLnyfjQaO2NxcSH6+8vR3d29EVd/jeb//zVPwVhcXIyZmZmYmJiI999/P6anp+Py5ctRKBSivb09yuVyjIyMxNjYWBw/fjwGBwdjcHDwb/Ja/lLNS+LNXbdfpFpNx6ItL6fNG7dvp+fX6ykM19Y2/6xdu9LHqak0E3F4OH1vtvIQbIC7CT7Y4nbujDh9OuLChU/inXdei1u3JmNq6nKsr9+KV1/9eYyNjcU3v/nNGLh78NtfoNFobDzGx8fj/Pnzce7cuXjzzTfj5s2bcfXq1Wg0GtHb2xuPPPJIvPDCCzE8PBxPP/30RviVSqXP3YG7FRWLaYNGb29a2avV0u+traUxOAsL6XmFQrqnb+fONBtxbS3i+vW0k3f//rTaB7DVCT7Y4jo704y3+fn1KJVmI2I2bt9eilu3ijE+Ph4REadOnYparXbPbLsv6+7Qa44+mZ6ejkuXLsW5c+finXfe2Vjx6+rqisHBwRgeHo7jx4/HyMhIfPWrX/2T99RtVcXi5tDlu6NtZSXt1m0qFFIUNgcrl0rpOUtLaeUPYDsQfLDFFQqFKJVKMTw8HD/4wQ/i4sWL8aMf/SgqlUr84he/iEuXLsWTTz4Za2trsXv37i8cffKn3Lp1KxYWFuLMmTPxm9/8Jj766KO4ePFizM/Px8rKSgwNDcXY2Fg8+uij8fzzz8fOnTvj0KFD0dXVFa2tD8aPkUIh4pln0n19P/1pxBtvpAHYhw/f71cG8Oc9GD+pYRsrFApRKBSiXC7HsWPHolgsRmdnZ1QqlZiYmIhqtRrT09PR398fDz300MZq2xet9N29T6u5C3dpaSlu3rwZH3zwQfzyl7+M6enpmJycjGKxGC0tLVEul2Pfvn3x+OOPx3PPPRfd3d3R09PzD92M8Y/UPPWkOUS5+RgeTqt9r7+eLvmurRm0DGwPgg+2iY6Ojti/f3/U6/V47rnnYmJiIn7729/GrVu34pVXXomxsbH44Q9/GKOjo39200Qz9M6fPx8fffRRnDlzJs6ePRvXrl2Lq1evRrFYjB07dsTjjz8eX/va12J0dDSOHj0ag4OD0dfXl/WqXktLmrfX2Zk2c3R1bV7y7e1Nu3K/9a3Ns3kfeSRtrAHYyvL9qQ2ZKZVKMTg4GMvLy3Hw4MEoFApx7ty5WFlZiXPnzsXi4mIsLS194b18zZW9RqOxcQ7t5ORknD9/Pt5555146623ol6vR6PRiL6+vhgYGIiDBw/Gs88+GyMjI3HkyJFtsyHjr9Gcv9c8d7d51m6hkO75a2tLx6s1zz0ul1McAmxlgg+2mf7+/njxxRfj0qVL8bvf/S6mpqZidnY26vV6vPnmmzEzMxMnT56Mwc8sOzUajZiZmYnFxcX41a9+FRcvXowPP/wwrl69GtevX49arRb79u3bWM176qmnYmRkJA4dOhTd3d3ZXr79rFotzeWbnEybZQYG0oaNu1Wrm3P8bt5MEbh79/15vQBfhuCDbaarqyuOHTsWHR0dsWPHjlhcXIwbN25ErVaLDz/8MBqNRhw5cuSeMS3Ns2jn5+djeno63nrrrXj77bdjeno65ufnN44u27FjRzz22GNx6tSpOH369MapFg9K7EWklb1PPknHsvX3b57Le7fmebwrK+kxMnJfXirAlyb4YJspFotRKpViaGgoXnrppRgfH4+XX345lpaW4q233oqJiYk4duxYlEqljY0V77//fty4cSPefvvt+Oijj+KDDz6I6enpKBaLMTQ0FCdOnIgjR47EY489Fo8++mgMDw9He3v7fR2gfL80GiniKpXNAcz1+r3PacbenTvp4/r6/XmtAF+W4INtpjmmpa+vL5555pkYGhqKV199Nebm5uL3v/99TE1NxfXr12PXrs0j1y5cuBAXLlyI1157bWMVsNFoxNDQUPT398fJkyfjhRdeiH379sW+ffseqBW9z7O6mmJubS3FXL2eQrCpeWxb81Gr3b/XCvBlCD7Yptra2mJ0dDSKxWIcP348yuVyXL58OSqVSvzsZz+L9957Lzo6OiIi7rnXr1gsxqFDh2L37t1x4sSJOHToUDz22GMxNjYW5XL5Pv+rtpaVlXT02uJiGrrctLSUgvCzl3oBtirBB9tUW1tbDA8PR2trazz++OPR2toa165di4WFhXjjjTeivb096vV61Gq1+OSTT2JlZSWKxWK0trbG2NhYHD16NL797W/H008/HS0tLVmPWvlLra2lM3YrlRR9TbdvpxgE2C78hIdtrqurK06dOhV79uyJ8+fPx+rqaty+fTvu3LmzMYqlXC7Hjh074uTJk7F37944fvz4xuXblpaWB2Lcyv9XvR4xMZF26966lXbrNl26FHHtWsRDD937+wBbleCDba6rq2tjOPJPfvKTjdEr65/uJGhuzBgaGorvfOc7G+NWBpTKn9QMvuXlFHfNS7qNRhrHMj+fjlXzNgLbgeCDba5QKER7e3v09fXFE088EX19fTE+Ph7Ly8tRLBajra0tnn/++Th48GAcO3YshoaGoqOj44HfmPHnFIvpJI22tnTyxt1jDS9ejPj44zS2BWA7EHywzRUKhejo6IiBgYE4depU7N+/P7q7u2Nubi5aWlqiq6srvve978WTTz75uSdw8PmKxYgjRyIefjji2LF0jm5EWuH79a8jzp3bHMsCsNUJPtjmmgFXKpVibGwsBgcHo6en554Vvt27d2/EnuD7/2m+XXe/bd5CYLsRfJCJtra2OHr0aDQajfj6179+z+dEHsCDTfBBJppRJ+7+OoVC2oixa1dEX1/arFEq3fuczs7NY9dWV9N/A2xlgg/gLsVixJ496ePu3Sns2trufU65nJ7TPInD5g1gqxN8AHcpFiN27oxob09z9rq6/jj4enoihobSkWrVakRv7/15rQBfVqHRuPuESIAHW6ORZvBF3Ltho/nrRmPz0dT8vKvpwFYl+AAAMuc8JQCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzAk+AIDMCT4AgMwJPgCAzP0fikAIqq8jyI0AAAAASUVORK5CYII=",
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "rdkit_image = rdkit_image_verbose(zinc15_raw_data,verbose=0)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IYJEMQ1l6cje"
      },
      "source": [
        "Now, the above image representation shows all the atoms with bonds. The visualization of this kind is very useful for understanding the molecule / monomer."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pLeBLtScycXU"
      },
      "source": [
        "#### iv.  Graphs  <a class=\"anchor\" id=\"graphs\"></a>\n",
        "\n",
        "- The graph datastructure is made of two main component i.e. nodes and edges. The nodes are connected using edges making a network like interpretation. This interpretation is very realistic in the case of molecules where atoms are considered as nodes and edges are the bonds connecting them.\n",
        "- In the following steps we will convert the molecules into graph and represent it as an image.\n",
        "  - We will first convert the molecule to a graph using `networkx` library.\n",
        "  - Then we will use `matplotlib` to plot this graph.\n",
        "  - We will use above two steps with the dataset to show the graph of first element in ZINC15 dataset."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "5XGJrvyQ3gS6"
      },
      "outputs": [],
      "source": [
        "# utility function\n",
        "def mol_to_nx(mol):\n",
        "  G = nx.Graph() # initiate the graph object\n",
        "\n",
        "  for atom in mol.GetAtoms(): # iterating through atoms\n",
        "      G.add_node(atom.GetIdx(),\n",
        "                atomic_num=atom.GetAtomicNum(),\n",
        "                is_aromatic=atom.GetIsAromatic(),\n",
        "                atom_symbol=atom.GetSymbol())  # assigning nodes representing atoms\n",
        "\n",
        "  for bond in mol.GetBonds(): # iterating through bonds\n",
        "      G.add_edge(bond.GetBeginAtomIdx(),\n",
        "                bond.GetEndAtomIdx(),\n",
        "                bond_type=bond.GetBondType()) # assigning edges representing bonds\n",
        "\n",
        "  return G # returning final graph"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RFZCozXI8xG8"
      },
      "source": [
        "The above function `mol_to_nx` creates an empty graph and assigns atoms as nodes and bonds as edges."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "wrGiLL7R8f1m"
      },
      "outputs": [],
      "source": [
        "# utility function\n",
        "def draw_graph(graph, figsize=(6,6)):\n",
        "  atoms = nx.get_node_attributes(graph, 'atom_symbol')  # getting symbol or characters for each atom\n",
        "\n",
        "  color_map = {'C': 'cyan',\n",
        "              'O': 'orange',\n",
        "              'N': 'magenta',\n",
        "               \"Cl\": \"pink\"}  # map color to special symbol or character\n",
        "\n",
        "  colors = []\n",
        "  for idx in graph.nodes():\n",
        "      if (graph.nodes[idx]['atom_symbol'] in color_map):\n",
        "        colors.append(color_map[graph.nodes[idx]['atom_symbol']])   # assign colors to the list by using the color map\n",
        "      else:\n",
        "        colors.append('gray') # if the symbol is not in the color map assigning gray\n",
        "\n",
        "  plt.figure(figsize=figsize)\n",
        "  nx.draw(graph,\n",
        "          labels=atoms,\n",
        "          with_labels = True,\n",
        "          node_color=colors,\n",
        "          node_size=800)  # drawing the graph\n",
        "\n",
        "  plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DWi3Vlcl8_8L"
      },
      "source": [
        "The function `draw_graph` determines the color of the nodes as per the atom and then plots it as a pyplot figure."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "PYnx_Yh28ig5"
      },
      "outputs": [],
      "source": [
        "# utility function\n",
        "def networkx_graph_verbose(dataset: Dataset, verbose=1):\n",
        "  for xi,_,_,_ in dataset[1][0].itersamples():\n",
        "    repr = xi\n",
        "    # conver rdkit molecule object to networkx object\n",
        "    repr_nx = mol_to_nx(repr)  # getting the graph object for\n",
        "    if verbose:\n",
        "      print(repr_nx)\n",
        "    draw_graph(repr_nx)\n",
        "    return repr_nx"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AJMShr1l9Sx0"
      },
      "source": [
        "The function `networkx_graph_verbose` combines `mol_to_nx` and `draw_graph` to plot the first element in the training set of the a dataset."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KwLrc4Oe90Ka"
      },
      "source": [
        "Let's plot the an element in ZINC15 dataset."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 653
        },
        "id": "fC8qKCMN7lvS",
        "outputId": "0314c2ec-8eb1-4a86-ea57-2b83a5eff958"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Graph with 23 nodes and 24 edges\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 600x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# graph representation of RDKit Molecule object\n",
        "graph_repr = networkx_graph_verbose(zinc15_raw_data)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pPDQfos--GRj"
      },
      "source": [
        "This way we can represent the graphical version of the molecules."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-V-ZSIZpW5lE"
      },
      "source": [
        "#### v.  Fingerprints <a class=\"anchor\" id=\"fingerprints\"></a>\n",
        "\n",
        "Imagine you have a unique fingerprint that identifies you. In the world of tiny molecules, there's a similar concept called a fingerprint! But instead of lines on your finger, a molecule's fingerprint is a special code made up of 0s and 1s.\n",
        "\n",
        "This code doesn't look like a real fingerprint, but it helps scientists identify similar molecules. It's like a secret code that captures the important features of the molecule, like the types of atoms it has and how they're connected.\n",
        "\n",
        "Here's why this is useful:\n",
        "\n",
        "- **Finding similar molecules**: Just like fingerprints help identify people, a molecule's fingerprint can help scientists find other molecules with similar structures. This is useful for things like medicine, where scientists might look for molecules with similar structures to existing drugs.\n",
        "- **Organizing molecules**: Imagine having a million different molecules! Fingerprints help scientists group molecules with similar structures together, making it easier to understand and manage large collections of molecules.\n",
        "\n",
        "\n",
        "Think of it like sorting clothes – you wouldn't mix shirts with socks! Fingerprints help scientists sort molecules in a similar way, based on their structure. Using following code we will load ZINC15 dataset with fingerprints."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "agt59Is_X66R"
      },
      "outputs": [],
      "source": [
        "# finger print representation [ loading of zinc15 dataset with fingerprint will take a little time ]\n",
        "zinc15_fingerprint_data = load_zinc15(featurizer=\"ECFP\") # extended-connectivity fingerprints (ECFPs) is a circular fingerprint method"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aYXhw_DrZoAF"
      },
      "source": [
        "Let's see how the `zinc15_fingerprint_data` looks like."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3fis3hnZZ1NG",
        "outputId": "d3287b04-dd0f-42cd-ccb1-3082b99ce155"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "x0 type >> <class 'numpy.ndarray'>\n",
            "x0 shape >> (1024,)\n",
            "x0 >> [0. 1. 0. ... 0. 0. 0.]\n",
            "y0 >> [-0.10887488 -0.88577842 -0.33927398]\n",
            "w0 >> [1. 1. 1.]\n",
            "id0 >> ZINC001374637845\n"
          ]
        }
      ],
      "source": [
        "# data_verbose(zinc15_fingerprint_data)\n",
        "tasks,datasets,transformer = zinc15_fingerprint_data\n",
        "training_data,valid_data,test_data = datasets\n",
        "for (xi,yi,wi, idi) in training_data.itersamples():\n",
        "    print(\"x0 type >>\",type(xi))\n",
        "    print(\"x0 shape >>\",xi.shape)\n",
        "    print(\"x0 >>\",xi)\n",
        "    print(\"y0 >>\",yi)\n",
        "    print(\"w0 >>\",wi)\n",
        "    print(\"id0 >>\",idi)\n",
        "    break"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "v-y31ieGaBGP"
      },
      "source": [
        "When we load the ZINC15 fingerprint data, the output is a special code stored in a numpy array. This code only uses 0s and 1s, similar to a binary code. In this specific case, the code is always 1024 numbers long, regardless of the molecule.\n",
        "\n",
        "This consistent size (1024) is helpful because it makes it easier to use these fingerprints with neural networks. Neural networks need data in a uniform format, and the constant size ensures everything lines up correctly when fed into the network"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rerAkhVKbSno"
      },
      "source": [
        "## 5. Polymer Representation <a class=\"anchor\" id=\"sample-poly\"></a>\n",
        "\n",
        "Imagine building a massive structure with countless tiny bricks. In the world of materials, polymers are like these grand structures, but instead of bricks, they're built from smaller units which are monomers. These monomers, often individual molecules themselves, link together in long chains, creating the foundation for the diverse properties and applications of polymers we encounter in everyday life.\n",
        "\n",
        "a. **Degree of Polymerization**  <a class=\"anchor\" id=\"dp\"></a>\n",
        "\n",
        "  Building on our analogy of polymers as massive structures built from tiny bricks, let's delve deeper into the concept of monomers. Each polymer chain is essentially constructed by linking numerous monomers together, but the number of monomers used can vary significantly. This variation is known as the degree of polymerization (DP). Imagine building a small wall with just a few bricks compared to a towering skyscraper requiring thousands. Similarly, the DP determines the length of the polymer chain, impacting its properties like strength, flexibility, and melting point. A higher DP generally translates to a longer chain, often leading to increased strength and rigidity. Understanding the degree of polymerization is crucial for tailoring polymers with specific properties for various applications.\n",
        "\n",
        "b. **Linear Polymer Representations**  <a class=\"anchor\" id=\"line-pres\"></a>\n",
        "\n",
        "  Let's represent two polymers by extending the monomer representation methods.\n",
        "\n",
        "\n",
        "- Polyethylene  (PE)\n",
        "- Polyvinylchloride (PVC)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eHAKT6ZueGSC"
      },
      "source": [
        "#### 1. Polyethylene (PE)\n",
        "\n",
        "With following steps we can represent Polyethylene\n",
        "\n",
        "1. Get SMILES of ethylene monomer\n",
        "2. Define Degrees of Polymerization (DP)\n",
        "3. Form a new SMILES for polymer using DP\n",
        "4. Add Hydrogen Atom for visualization"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 167
        },
        "id": "1ueLK1_berSv",
        "outputId": "9ebc4c3f-f338-4a3b-9b01-d8f1f775095f"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<rdkit.Chem.rdchem.Mol at 0x7c4d52237d80>"
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Let's consider ethylene\n",
        "M_SMILES = \"C=C\" # SMILES of ethylene\n",
        "M_MOL = Chem.MolFromSmiles(M_SMILES)\n",
        "Chem.rdmolops.AddHs(M_MOL)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ov78HfIDgflr"
      },
      "source": [
        "In the above example we loaded the ethylene molecule using it's SMILES (C=C) and added H anottation for complete representation."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cba9aBQyhG7_"
      },
      "source": [
        "During the polymerization of ethylene the double bond (=) in the middle breaks and the chain connects with adjacent ethylene monomers forming a long polymer chain. For our case, let's say there are 20 ethylene monomers those form the polymer chain. ( Degree of Polymerization = 20 ) Now the new SMILES will be nothing but 20 times \"CC\"."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "wwPNw7_EZnot"
      },
      "outputs": [],
      "source": [
        "DP = 20\n",
        "P_SMILES = \"CC\"*DP\n",
        "P_MOL = Chem.MolFromSmiles(P_SMILES)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gX1sZdbaijgR"
      },
      "source": [
        "Let's visualize the polymer molecule"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 167
        },
        "id": "p74NMI6oirDR",
        "outputId": "47c4ecae-35d3-4d7c-df73-c433ebeb8f4e"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<rdkit.Chem.rdchem.Mol at 0x7c4d52237ae0>"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "P_MOL"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_SjkvcmZjAtc"
      },
      "source": [
        "Let's add hydrogen atom for proper visulization !"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 167
        },
        "id": "wyHF1Ee-i_y0",
        "outputId": "ec8aacd1-ba22-4da4-ab45-97fa14f5da43"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<rdkit.Chem.rdchem.Mol at 0x7c4d52237680>"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "P_MOL_W_H = Chem.rdmolops.AddHs(P_MOL)\n",
        "P_MOL_W_H"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ydDN9zNbkpVn"
      },
      "source": [
        "Now, we got the RDKit Molecular object, SMILES string, and image representation\n",
        "Let's see how the graph representation works for polyethylene."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 636
        },
        "id": "nK1DZ7MglJ1b",
        "outputId": "64a1ae17-27e4-4a02-8286-af78c5414274"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 600x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "P_GRAPH = mol_to_nx(P_MOL)\n",
        "draw_graph(P_GRAPH)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fzm2q8hRlYgF"
      },
      "source": [
        "Now we can see the graph representing the polymer chain"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 636
        },
        "id": "i9pWC9HZlVMc",
        "outputId": "43ffef7b-d71d-46c4-82ae-718957d2bc79"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 600x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "P_GRAPH_W_H = mol_to_nx(P_MOL_W_H)\n",
        "draw_graph(P_GRAPH_W_H)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5CeXcCWlolvx"
      },
      "source": [
        "In these ways we can represent the polymer chain as macromolecule."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8OnZwNCMoyPr"
      },
      "source": [
        "#### 2. Polyvinylchloride (PVC)\n",
        "\n",
        "With following steps we can represent Polyvinylchloride\n",
        "\n",
        "1. Get SMILES of vinlychloride molecule\n",
        "2. Define Degrees of Polymerization (DP)\n",
        "3. Form a new SMILES for PVC using DP\n",
        "4. Add Hydrogen Atom for visualization"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 167
        },
        "id": "jTGy0v9spNvG",
        "outputId": "24be0507-946e-43b7-ea52-794b65a858eb"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<rdkit.Chem.rdchem.Mol at 0x7c4d522369d0>"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "M_SMILES = \"C=C(Cl)\" # SMILES of vinyl chloride\n",
        "M_MOL = Chem.MolFromSmiles(M_SMILES)\n",
        "Chem.rdmolops.AddHs(M_MOL)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j3FFc-c-pYwn"
      },
      "source": [
        "During the polymerization of vinyl chloride the double bond (=) in the middle breaks and the chain connects with adjacent vinyl chloride monomers forming a long polymer chain. For our case, let's say there are 20 vinly chloride monomers those form the polymer chain. ( Degree of Polymerization = 20 ) Now the new SMILES will be nothing but 20 times \"CC(Cl)\" with an additional C at the end of the chain for complete visualization."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "IaoVHw4OpQM9"
      },
      "outputs": [],
      "source": [
        "DOP = 20\n",
        "P_SMILES = \"CC(Cl)\"*DOP+\"C\"\n",
        "P_MOL = Chem.MolFromSmiles(P_SMILES)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 167
        },
        "id": "4slZYfGIp-wr",
        "outputId": "d35d0f2c-bf7e-413e-b379-ca45ffa1a19d"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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ORIOqzZOndpGogCrNkwKqvXlyagvZoKneyAqkVj05tYUkMCvVkwhiyJ6c2kIWYCN2pEExJt/bU7vIDt3qjRSo1tAceWoX2QBN0NfJoNYRHXlqy1SgBSccp2ftV51T+yfLiiREAJI/JVcMN0xKS3oSWpL0MhlCmEEyvGTqYeiJWxKbBZcl9kx8HWyd5CEJUshREsAkuSG4SeKTVZFslPvy2N5/TrUCTJVTeI8AAAAASUVORK5CYII=",
            "text/plain": [
              "<rdkit.Chem.rdchem.Mol at 0x7c4d52236b90>"
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "P_MOL"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AdwvDBX-qDsz"
      },
      "source": [
        "Considering Hydrogen atom"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 167
        },
        "id": "Mw8yg38PqIG8",
        "outputId": "79e7eb4d-39c4-411e-ea5b-045102d3ebc4"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<rdkit.Chem.rdchem.Mol at 0x7c4d52236960>"
            ]
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "P_MOL_W_H = Chem.rdmolops.AddHs(P_MOL)\n",
        "P_MOL_W_H"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7A3DtwIhqWVe"
      },
      "source": [
        "Now representing the graph structure of the PVC"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 965
        },
        "id": "019IK_5Jqal2",
        "outputId": "06d4d2b7-6824-4b26-91b9-59b6502f3bb7"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1500x1000 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "P_GRAPH = mol_to_nx(P_MOL)\n",
        "draw_graph(P_GRAPH, figsize=(15,10))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 965
        },
        "id": "IyDtNTJrqoM3",
        "outputId": "8482fd57-0ecd-44ff-b7fc-13ed456d3fe9"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1500x1000 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "P_GRAPH_W_H = mol_to_nx(P_MOL_W_H)\n",
        "draw_graph(P_GRAPH_W_H, figsize=(15,10))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "09GV6p2zusB6"
      },
      "source": [
        "These are two polymer represetation. The polyethylene representation is a linear representation of polymer chain while the polyvinylchloride includes chlorine as the halogen group. The introduction of chlorine can introduce complexity considering the chlorine can be reprsented both above or below the main carbon chain."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "It8tlZTywJ50"
      },
      "source": [
        "## 6. Limitations <a class=\"anchor\" id=\"limitations\"></a>\n",
        "\n",
        "Even if we represented the polymer as a small molecule, it’s not realistic in actual use cases. The current representation can have the following limitations.\n",
        "1. Actual Degree of Polymerization can range between 10K to 100K for PE. Hence presenting it in repetitive SMILE strings is not realistic.\n",
        "2. The tacticity of the polymer can’t be determined from the SMILES string or corresponding graph representation.\n",
        "\n",
        "3. Any other polymerization other than addition polymerization can’t be implemented properly.\n",
        "4. The repetition of monomers in copolymers can’t be tracked with this approach.\n",
        "5. Even if we represent the monomers with a graph, we can’t keep the edge open for the next monomer considering the conjunction of the monomer can determine if the polymer is going to be branched, crosslinked, or linear.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LtoWhYN56KDa"
      },
      "source": [
        "# Congratulations! Time to join the Community!\n",
        "\n",
        "Congratulations on completing this tutorial notebook! If you enjoyed working through the tutorial, and want to continue working with DeepChem, we encourage you to finish the rest of the tutorials in this series. You can also help the DeepChem community in the following ways:\n",
        "\n",
        "## Star DeepChem on [GitHub](https://github.com/deepchem/deepchem)\n",
        "This helps build awareness of the DeepChem project and the tools for open source drug discovery that we're trying to build.\n",
        "\n",
        "## Join the DeepChem Gitter\n",
        "The DeepChem [Gitter](https://gitter.im/deepchem/Lobby) hosts a number of scientists, developers, and enthusiasts interested in deep learning for the life sciences. Join the conversation!\n",
        "\n",
        "## Join the DeepChem Discord\n",
        "The DeepChem [Discord](https://discord.gg/cGzwCdrUqS) hosts a number of scientists, developers, and enthusiasts interested in deep learning for the life sciences. Join the conversation!"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h85yXItxlzkh"
      },
      "source": [
        "## Citing This Tutorial\n",
        "If you found this tutorial useful please consider citing it using the provided BibTeX."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ksuwgLmmlvCy"
      },
      "outputs": [],
      "source": [
        "@manual{Intro1,\n",
        " title={Welcome to the Polyverse : An Introduction to Polymers and Their Representation},\n",
        " organization={DeepChem},\n",
        " author={Mohanty, Debasish},\n",
        " howpublished = {\\url{https://github.com/deepchem/deepchem/blob/master/examples/tutorials/An_Introduction_to_Polymers_and_Their__Representation.ipynb}},\n",
        " year={2024},\n",
        "}"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
